KEGG for representation and analysis of molecular networks involving diseases and drugs.
paper
Cited
Public
- Authors
- Kanehisa, Minoru; Goto, Susumu; Furumichi, Miho; Tanabe, Mao; Hirakawa, Mika
- Year
- 2010
- Journal
- Nucleic acids research
- PMID
- 19880382
- DOI
- 10.1093/nar/gkp896
- PMCID
- PMC2808910
Most human diseases are complex multi-factorial diseases resulting from the combination of various genetic and environmental factors. In the KEGG database resource (http://www.genome.jp/kegg/), diseases are viewed as perturbed states of the molecular system, and drugs as perturbants to the molecular system. Disease information is computerized in two forms: pathway maps and gene/molecule lists. The KEGG PATHWAY database contains pathway maps for the molecular systems in both normal and perturbed states. In the KEGG DISEASE database, each disease is represented by a list of known disease genes, any known environmental factors at the molecular level, diagnostic markers and therapeutic drugs, which may reflect the underlying molecular system. The KEGG DRUG database contains chemical structures and/or chemical components of all drugs in Japan, including crude drugs and TCM (Traditional Chinese Medicine) formulas, and drugs in the USA and Europe. This database also captures knowledge about two types of molecular networks: the interaction network with target molecules, metabolizing enzymes, other drugs, etc. and the chemical structure transformation network in the history of drug development. The new disease/drug information resource named KEGG MEDICUS can be used as a reference knowledge base for computational analysis of molecular networks, especially, by integrating large-scale experimental datasets.
Knowledge representation of systemic functions in the forms of (a) pathway map; (b) simple list; and (c) hierarchical list. Examples shown here are: (a) KEGG PATHWAY entry (hsa05220) for chronic myeloid leukemia, KEGG DISEASE entry (H00004) for chronic myeloid leukemia and KEGG BRITE entry (br08402) for a classification of human diseases.
KEGG accumulates knowledge about the networks of chemical structure transformations for linking genomes to chemical structures.
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| Medication use before and during pregnancy in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. | Noda A et al. | — | 2024 | → |
| Metagenomic analysis of gut microbiome illuminates the mechanisms and evolution of lignocellulose degradation in mangrove herbivorous crabs. | Hui TKL et al. | — | 2024 | → |
| MolToxPred: small molecule toxicity prediction using machine learning approach. | Setiya A et al. | — | 2024 | → |
| Moving beyond species: fungal function in house dust provides novel targets for potential indicators of mold growth in homes. | Balasubrahmaniam N et al. | — | 2024 | → |
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| Plasma miRNA expression profile in pediatric pineal pure germinomas. | Fakhry M et al. | — | 2024 | → |
| Polypharmacology prediction: the long road toward comprehensively anticipating small-molecule selectivity to de-risk drug discovery. | Manen-Freixa L et al. | — | 2024 | → |
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| Predicting therapeutic and side effects from drug binding affinities to human proteome structures. | Sawada R et al. | — | 2024 | → |
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| scToppR: a coding-friendly R interface to ToppGene. | Granger B et al. | — | 2024 | → |
| Sensitivity of substrate translocation in chaperone-mediated autophagy to Alzheimer's disease progression. | Yu L et al. | — | 2024 | → |
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| Targeting of human cancer stem cells predicts efficacy and toxicity of FDA-approved oncology drugs. | Vojnits K et al. | — | 2024 | → |
| The C. elegans Myc-family of transcription factors coordinate a dynamic adaptive response to dietary restriction. | Cornwell AB et al. | — | 2024 | → |
| The Use of Japanese Traditional (Kampo) Medicines Before and During Pregnancy in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. | Noda A et al. | — | 2024 | → |
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| Vaginal Lactobacillus crispatus persistence following application of a live biotherapeutic product: colonization phenotypes and genital immune impact. | Armstrong E et al. | — | 2024 | → |
| Vaginal metatranscriptome meta-analysis reveals functional BV subgroups and novel colonisation strategies. | Dos Santos SJ et al. | — | 2024 | → |
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| Aberrant Methylation of the Imprinted C19MC and MIR371-3 Clusters in Patients with Non-Small Cell Lung Cancer. | Boyero L et al. | — | 2023 | → |
| Advancing Computational Toxicology by Interpretable Machine Learning. | Jia X et al. | — | 2023 | → |
| An Integration Framework of Secure Multiparty Computation and Deep Neural Network for Improving Drug-Drug Interaction Predictions. | Pan L et al. | — | 2023 | → |
| Antibiotic resistance in Neisseria gonorrhoeae: broad-spectrum drug target identification using subtractive genomics. | Omeershffudin UNM et al. | — | 2023 | → |
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| Artificial Intelligence and Data Mining for the Pharmacovigilance of Drug-Drug Interactions. | Hauben M | — | 2023 | → |
| Associating transcriptomics data with inflammatory markers to understand tumour microenvironment in hepatocellular carcinoma. | Bahcivanci B et al. | — | 2023 | → |
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| cLD: Rare-variant linkage disequilibrium between genomic regions identifies novel genomic interactions. | Wang D et al. | — | 2023 | → |
| Comprehensive analysis of circulating cell-free RNAs in blood for diagnosing non-small cell lung cancer. | Liu Y et al. | — | 2023 | → |
| De novo drug design based on patient gene expression profiles via deep learning. | Yamanaka C et al. | — | 2023 | → |
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| DRLM: A Robust Drug Representation Learning Method and its Applications. | Fu H et al. | — | 2023 | → |
| Drug dosage modifications in 24 million in-patient prescriptions covering eight years: A Danish population-wide study of polypharmacy. | Leal Rodríguez C et al. | — | 2023 | → |
| Drug monomers from Salvia miltiorrhiza Bge. promoting tight junction protein expression for therapeutic effects on lung cancer. | Zhu G et al. | — | 2023 | → |
| Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks. | Liu S et al. | — | 2023 | → |
| Ephedrine and pseudoephedrine in Ephedra saxatilis on the vertical altitude gradient changed in southern Tibet Plateau, China. | Lu M et al. | — | 2023 | → |
| Exploring the interaction between T-cell antigen receptor-related genes and MAPT or ACHE using integrated bioinformatics analysis. | Guo W et al. | — | 2023 | → |
| Generative Artificial Intelligence GPT-4 Accelerates Knowledge Mining and Machine Learning for Synthetic Biology. | Xiao Z et al. | — | 2023 | → |
| Genome-Wide Detection of Copy Number Variations Associated with Miniature Features in Horses. | Choudhury MP et al. | — | 2023 | → |
| Identification of drug-side effect association via correntropy-loss based matrix factorization with neural tangent kernel. | Ding Y et al. | — | 2023 | → |
| Identification of key modules and micro RNAs associated with colorectal cancer via a weighted gene co-expression network analysis and competing endogenous RNA network analysis. | Li L et al. | — | 2023 | → |
| Identification of potential novel therapeutic drug target against Elizabethkingia anophelis by integrative pan and subtractive genomic analysis: An in silico approach. | Sarker P et al. | — | 2023 | → |
| <i>Dusp1</i> regulates thermal tolerance limits in zebrafish by maintaining mitochondrial integrity. | Wang Y et al. | — | 2023 | → |
| Impact of Drugs and Patient Characteristics on Life Expectancy during the Induction Phase of Dialysis. | Nishikiori K et al. | — | 2023 | → |
| Insights into the mechanism of growth and fat deposition by feeding different levels of lipid provided by transcriptome analysis of swamp eel (<i>Monopterus albus</i>, Zuiew 1793) liver. | Zhang Y et al. | — | 2023 | → |
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| miR-218 Promotes Dopaminergic Differentiation and Controls Neuron Excitability and Neurotransmitter Release through the Regulation of a Synaptic-Related Genes Network. | Pulcrano S et al. | — | 2023 | → |
| NEUROD1 reinforces endocrine cell fate acquisition in pancreatic development. | Bohuslavova R et al. | — | 2023 | → |
| Pathogenomic in silico approach identifies NSP-A and Fe-IIISBP as possible drug targets in Neisseria Meningitidis MC58 and development of pharmacophores as novel therapeutic candidates. | Joshi M et al. | — | 2023 | → |
| Peptidomics analysis of plasma in patients with ankylosing spondylitis. | Zhang GN et al. | — | 2023 | → |
| Predicting drug-drug interactions based on multi-view and multichannel attention deep learning. | Huang L et al. | — | 2023 | → |
| Recent development of machine learning models for the prediction of drug-drug interactions. | Hong E et al. | — | 2023 | → |
| Recognition of Differentially Expressed Molecular Signatures and Pathways Associated with COVID-19 Poor Prognosis in Glioblastoma Patients. | Alzahrani FA et al. | — | 2023 | → |
| RNA alternative splicing impacts the risk for alcohol use disorder. | Li R et al. | — | 2023 | → |
| Single-Cell Transcriptomics Reveals Evidence of Endothelial Dysfunction in the Brains of COVID-19 Patients with Implications for Glioblastoma Progression. | Thakur A et al. | — | 2023 | → |
| SRplot: A free online platform for data visualization and graphing. | Tang D et al. | — | 2023 | → |
| The Gut Microbiome of an Indigenous Agropastoralist Population in a Remote Area of Colombia with High Rates of Gastrointestinal Infections and Dysbiosis. | Kann S et al. | — | 2023 | → |
| The Oxidative Stress-Induced Hypothetical Protein PG_0686 in <i>Porphyromonas gingivalis</i> W83 Is a Novel Diguanylate Cyclase. | Ximinies AD et al. | — | 2023 | → |
| Transcriptome profiling of intact bowel wall reveals that PDE1A and SEMA3D are possible markers with roles in enteric smooth muscle apoptosis, proliferative disorders, and dysautonomia in Crohn's disease. | Yang Y et al. | — | 2023 | → |
| Translational proteomics and phosphoproteomics: Tissue to extracellular vesicles. | Wu X et al. | — | 2023 | → |
| Tyrosine Kinase Receptor ErbB4 in Advillin-Positive Neurons Contributes to Inflammatory Pain Hypersensitivity in Mouse DRG. | Guo Z et al. | — | 2023 | → |
| xcore: an R package for inference of gene expression regulators. | Migdał M et al. | — | 2023 | → |
| A comparison expression analysis of CXCR4, CXCL9 and Caspase-9 in dermal vascular endothelial cells between keloids and normal skin on chemotaxis and apoptosis. | Dong X et al. | — | 2022 | → |
| A computational model revealing the immune-related hub genes and key pathways involved in rheumatoid arthritis (RA). | Balasundaram A et al. | — | 2022 | → |
| A construction and comprehensive analysis of the immune-related core ceRNA network and infiltrating immune cells in peripheral arterial occlusive disease. | Chen Z et al. | — | 2022 | → |
| A Genome-Scale Metabolic Model of <i>Methanoperedens nitroreducens</i>: Assessing Bioenergetics and Thermodynamic Feasibility. | He B et al. | — | 2022 | → |
| A genome-wide atlas of antibiotic susceptibility targets and pathways to tolerance. | Leshchiner D et al. | — | 2022 | → |
| Antimicrobial resistance in Klebsiella pneumoniae: identification of bacterial DNA adenine methyltransferase as a novel drug target from hypothetical proteins using subtractive genomics. | Omeershffudin UNM et al. | — | 2022 | → |
| A review of biomedical datasets relating to drug discovery: a knowledge graph perspective. | Bonner S et al. | — | 2022 | → |
| Association of FXI activity with thrombo-inflammation, extracellular matrix, lipid metabolism and apoptosis in venous thrombosis. | Pallares Robles A et al. | — | 2022 | → |
| Breath response following a nutritional challenge monitored by secondary electrospray ionization high-resolution mass spectrometry. | Wüthrich C et al. | — | 2022 | → |
| Changes in the Distribution of Membrane Lipids during Growth of Thermotoga maritima at Different Temperatures: Indications for the Potential Mechanism of Biosynthesis of Ether-Bound Diabolic Acid (Membrane-Spanning) Lipids. | Sahonero-Canavesi DX et al. | — | 2022 | → |
| CircleBase: an integrated resource and analysis platform for human eccDNAs. | Zhao X et al. | — | 2022 | → |
| Comparative Genome Analysis of '<i>Candidatus</i> Phytoplasma luffae' Reveals the Influential Roles of Potential Mobile Units in Phytoplasma Evolution. | Huang CT et al. | — | 2022 | → |
| Comparative Genomics of the Waterfowl Innate Immune System. | Jax E et al. | — | 2022 | → |
| Control of cell state transitions. | Rukhlenko OS et al. | — | 2022 | → |
| COVID-19 Candidate Genes and Pathways Potentially Share the Association with Lung Cancer. | Alnajeebi AM et al. | — | 2022 | → |
| Deep neural network prediction of genome-wide transcriptome signatures - beyond the Black-box. | Magnusson R et al. | — | 2022 | → |
| Differential expression analysis of genes and long non-coding RNAs associated with KRAS mutation in colorectal cancer cells. | Saliani M et al. | — | 2022 | → |
| Disentangling the lipid divide: Identification of key enzymes for the biosynthesis of membrane-spanning and ether lipids in Bacteria. | Sahonero-Canavesi DX et al. | — | 2022 | → |
| Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses. | Zou Z et al. | — | 2022 | → |
| Exploring the Potential Antidepressant Mechanisms of Pinellia by Using the Network Pharmacology and Molecular Docking. | Xiao YG et al. | — | 2022 | → |
| From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signatures. | Namba S et al. | — | 2022 | → |
| Gene expression profile suggests different mechanisms underlying sporadic and familial mesial temporal lobe epilepsy. | Maurer-Morelli CV et al. | — | 2022 | → |
| Genome-Wide Association Analysis and Genetic Parameters for Feed Efficiency and Related Traits in Yorkshire and Duroc Pigs. | Li W et al. | — | 2022 | → |
| Genome-wide investigations reveal the population structure and selection signatures of Nigerian cattle adaptation in the sub-Saharan tropics. | Mauki DH et al. | — | 2022 | → |
| Genomic profiling and network-level understanding uncover the potential genes and the pathways in hepatocellular carcinoma. | El-Kafrawy SA et al. | — | 2022 | → |
| Global Gene Expression and Docking Profiling of COVID-19 Infection. | Jabeen A et al. | — | 2022 | → |
| Identification of molecular initiating events and key events leading to endocrine disrupting effects of PFOA: Integrated molecular dynamic, transcriptomic, and proteomic analyses. | Guan R et al. | — | 2022 | → |
| Immune cells transcriptome-based drug repositioning for multiple sclerosis. | Yin X et al. | — | 2022 | → |
| Improved prognosis and evidence of enhanced immunogenicity in tumor and circulation of high-risk melanoma patients with unknown primary. | Tarhini AA et al. | — | 2022 | → |
| In silico Methods for Identification of Potential Therapeutic Targets. | Zhang X et al. | — | 2022 | → |
| Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma. | Zhong T et al. | — | 2022 | → |
| Lipid and protein content profiling of isolated native autophagic vesicles. | Schmitt D et al. | — | 2022 | → |
| Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information. | Jang HY et al. | — | 2022 | → |
| Mapping the single-cell landscape of acral melanoma and analysis of the molecular regulatory network of the tumor microenvironments. | He Z et al. | — | 2022 | → |
| Mechanisms of Action of a Herbal Formula Huangqi Guizhi Wuwu Tang for the Management of Post-Stroke Related Numbness and Weakness: A Computational Molecular Docking Study. | Lee S et al. | — | 2022 | → |
| Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking. | Zhou Z et al. | — | 2022 | → |
| Metagenomic Insights Into the Changes of Antibiotic Resistance and Pathogenicity Factor Pools Upon Thermophilic Composting of Human Excreta. | Werner KA et al. | — | 2022 | → |
| MSPEDTI: Prediction of Drug-Target Interactions via Molecular Structure with Protein Evolutionary Information. | Wang L et al. | — | 2022 | → |
| Multi-staged gene expression profiling reveals potential genes and the critical pathways in kidney cancer. | Khouja HI et al. | — | 2022 | → |
| New nitrogen-compounds, penicidones E and F, produced by the fungal strain Oidiodendron sp. FKI-7498. | Miyano R et al. | — | 2022 | → |
| Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation. | Wen H et al. | — | 2022 | → |
| Pathway Analysis for Cancer Research and Precision Oncology Applications. | La Ferlita A et al. | — | 2022 | → |
| Phosphoproteomics analysis of diabetic cardiomyopathy in aging-accelerated mice and effects of D-pinitol. | Li XL et al. | — | 2022 | → |
| Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning. | Yan C et al. | — | 2022 | → |
| Progress towards machine learning reaction rate constants. | Komp E et al. | — | 2022 | → |
| Regulome-based characterization of drug activity across the human diseasome. | Iwata M et al. | — | 2022 | → |
| RNA-RNA interactions between SARS-CoV-2 and host benefit viral development and evolution during COVID-19 infection. | Zhang S et al. | — | 2022 | → |
| Role of Potential COVID-19 Immune System Associated Genes and the Potential Pathways Linkage with Type-2 Diabetes. | Helmi N et al. | — | 2022 | → |
| Scalp and serum profiling of frontal fibrosing alopecia reveals scalp immune and fibrosis dysregulation with no systemic involvement. | Dubin C et al. | — | 2022 | → |
| Shoc2 controls ERK1/2-driven neural crest development by balancing components of the extracellular matrix. | Norcross RG et al. | — | 2022 | → |
| Small compound-based direct cell conversion with combinatorial optimization of pathway regulations. | Nakamura T et al. | — | 2022 | → |
| Sub-lethal exposure to malaria vector control pesticides causes alterations in liver metabolomics and behaviour of the African clawed frog (Xenopus laevis). | Wolmarans NJ et al. | — | 2022 | → |
| Systematic analysis competing endogenous RNA coexpression network as a potentially prediction prognostic biomarker for colon adenocarcinoma. | Xi J et al. | — | 2022 | → |
| The Pharmacorank Search Tool for the Retrieval of Prioritized Protein Drug Targets and Drug Repositioning Candidates According to Selected Diseases. | Gnilopyat S et al. | — | 2022 | → |
| The topology of genome-scale metabolic reconstructions unravels independent modules and high network flexibility. | Martínez VS et al. | — | 2022 | → |
| Upregulation of leucine-rich alpha-2 glycoprotein: A key regulator of inflammation and joint fibrosis in patients with severe knee osteoarthritis. | Sarkar A et al. | — | 2022 | → |
| WINNER: A network biology tool for biomolecular characterization and prioritization. | Nguyen T et al. | — | 2022 | → |
| Adenosine A2A receptor signaling promotes FoxO associated autophagy in chondrocytes. | Friedman B et al. | — | 2021 | → |
| Advances in the Study of Metabolomics and Metabolites in Some Species Interactions. | Liu R et al. | — | 2021 | → |
| Algorithmic Annotation of Functional Roles for Components of 3,044 Human Molecular Pathways. | Sorokin M et al. | — | 2021 | → |
| A multi-objective hybrid machine learning approach-based optimization for enhanced biomass and bioactive phycobiliproteins production in Nostoc sp. CCC-403. | Saini DK et al. | — | 2021 | → |
| Analysis of key genes and related transcription factors in liver fibrosis based on bioinformatic technology. | Yang X et al. | — | 2021 | → |
| An Open Access Database of Licensed Cancer Drugs. | Pantziarka P et al. | — | 2021 | → |
| A Review of Approaches for Predicting Drug-Drug Interactions Based on Machine Learning. | Han K et al. | — | 2021 | → |
| Aripiprazole as a Candidate Treatment of COVID-19 Identified Through Genomic Analysis. | Crespo-Facorro B et al. | — | 2021 | → |
| ASYMPTOTICALLY INDEPENDENT U-STATISTICS IN HIGH-DIMENSIONAL TESTING. | He Y et al. | — | 2021 | → |
| A Systems Approach to Interrogate Gene Expression Patterns in African American Men Presenting with Clinically Localized Prostate Cancer. | Hardiman G et al. | — | 2021 | → |
| Beneficial effects of Dendrobium nobile Lindl. Alkaloids (DNLA) on anxiety and depression induced by chronic unpredictable stress in rats. | Xiong TW et al. | — | 2021 | → |
| Bioinformatics analysis of high frequency mutations in myelodysplastic syndrome-related patients. | Wu K et al. | — | 2021 | → |
| Bioinformatics-based Identification of Key Pathways and Hub Genes of Traumatic Brain Injury in a Rat Model. | Cao XY et al. | — | 2021 | → |
| Biological Mechanisms Induced by Soybean Agglutinin Using an Intestinal Cell Model of Monogastric Animals. | Pan L et al. | — | 2021 | → |
| BnPIR: Brassica napus pan-genome information resource for 1689 accessions. | Song JM et al. | — | 2021 | → |
| Channeling of Carbon Flux Towards Carotenogenesis in <i>Botryococcus braunii</i>: A Media Engineering Perspective. | Mariam I et al. | — | 2021 | → |
| Characterization of the small RNA transcriptomes of cell protrusions and cell bodies of highly metastatic hepatocellular carcinoma cells via RNA sequencing. | Cai W et al. | — | 2021 | → |
| Clinical Proteomics of Metastatic Melanoma Reveals Profiles of Organ Specificity and Treatment Resistance. | Beck L et al. | — | 2021 | → |
| Comparison of neutral lipid fatty acid composition in organisms from different trophic levels. | Lage OM et al. | — | 2021 | → |
| Construction of a 5 immune-related lncRNA-based prognostic model of NSCLC via bioinformatics. | Huang YJ et al. | — | 2021 | → |
| Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma. | He Z et al. | — | 2021 | → |
| Decoding the Role of Astrocytes in the Entorhinal Cortex in Alzheimer's Disease Using High-Dimensional Single-Nucleus RNA Sequencing Data and Next-Generation Knowledge Discovery Methodologies: Focus on Drugs and Natural Product Remedies for Dementia. | Pushparaj PN et al. | — | 2021 | → |
| DNA methylome and transcriptome landscapes of cancer-associated fibroblasts reveal a smoking-associated malignancy index. | Su SF et al. | — | 2021 | → |
| Enhanced Thermogenesis in Triple-Negative Breast Cancer Is Associated with Pro-Tumor Immune Microenvironment. | Gandhi S et al. | — | 2021 | → |
| Enhanced Understanding of Molecular Interactions and Function Underlying Pain Processes Through Networks of Transcript Isoforms, Genes, and Gene Families. | Zhang P et al. | — | 2021 | → |
| Evaluating Targeted Therapies in Ovarian Cancer Metabolism: Novel Role for PCSK9 and Second Generation mTOR Inhibitors. | Jacome Sanz D et al. | — | 2021 | → |
| Ferroptosis-related gene AKR1C1 predicts the prognosis of non-small cell lung cancer. | Huang F et al. | — | 2021 | → |
| Genetically variant human pluripotent stem cells selectively eliminate wild-type counterparts through YAP-mediated cell competition. | Price CJ et al. | — | 2021 | → |
| Genotyping Analysis by RAD-Seq Reads Is Useful to Assess the Genetic Identity and Relationships of Breeding Lines in Lavender Species Aimed at Managing Plant Variety Protection. | Scariolo F et al. | — | 2021 | → |
| Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin. | Barbiero P et al. | — | 2021 | → |
| High expression of LAMA3/AC245041.2 gene pair associated with KRAS mutation and poor survival in pancreatic adenocarcinoma: a comprehensive TCGA analysis. | Tian C et al. | — | 2021 | → |
| Holistic evaluation of biodegradation pathway prediction: assessing multi-step reactions and intermediate products. | Tam JYC et al. | — | 2021 | → |
| IBDDB: a manually curated and text-mining-enhanced database of genes involved in inflammatory bowel disease. | Khan F et al. | — | 2021 | → |
| Identification and validation of a new gene signature predicting prognosis of hepatocellular carcinoma patients by network analysis of stemness indices. | Cai JL et al. | — | 2021 | → |
| Identification of a ceRNA Network in Lung Adenocarcinoma Based on Integration Analysis of Tumor-Associated Macrophage Signature Genes. | Zhang L et al. | — | 2021 | → |
| Identification of Novel Gene Signatures using Next-Generation Sequencing Data from COVID-19 Infection Models: Focus on Neuro-COVID and Potential Therapeutics. | Pushparaj PN et al. | — | 2021 | → |
| Identification of Transcription Factor Genes and Functional Characterization of <i>PlMYB1</i> From <i>Pueraria lobata</i>. | Shen G et al. | — | 2021 | → |
| <i>In Silico</i> Repositioning of Dopamine Modulators with Possible Application to Schizophrenia: Pharmacophore Mapping, Molecular Docking and Molecular Dynamics Analysis. | Mejia-Gutierrez M et al. | — | 2021 | → |
| In-Depth Analysis of the Hidradenitis Suppurativa Serum Proteome Identifies Distinct Inflammatory Subtypes. | Navrazhina K et al. | — | 2021 | → |
| In silico drug repositioning using deep learning and comprehensive similarity measures. | Yi HC et al. | — | 2021 | → |
| Integrative growth physiology and transcriptome profiling of probiotic <i>Limosilactobacillus reuteri</i> KUB-AC5. | Jatuponwiphat T et al. | — | 2021 | → |
| In vivo therapeutic success of MicroRNA-155 antagomir in a mouse model of pulmonary fibrosis induced by bleomycin. | Sun X et al. | — | 2021 | → |
| Involvement of BbTpc1, an important Zn(II)<sub>2</sub>Cys<sub>6</sub> transcriptional regulator, in chitin biosynthesis, fungal development and virulence of an insect mycopathogen. | Qiu L et al. | — | 2021 | → |
| <i>Variimorphobacter saccharofermentans</i> gen. nov., sp. nov., a new member of the family <i>Lachnospiraceae</i>, isolated from a maize-fed biogas fermenter. | Rettenmaier R et al. | — | 2021 | → |
| Key aroma compounds and metabolic profiling of Debaryomyces hansenii L1-1-fermented Flos Sophorae. | Zhang Q et al. | — | 2021 | → |
| Kinetics of the ancestral carbon metabolism pathways in deep-branching bacteria and archaea. | Sumi T et al. | — | 2021 | → |
| Machine learning approaches for drug combination therapies. | Güvenç Paltun B et al. | — | 2021 | → |
| Mechanistic targets for BPH and prostate cancer-a review. | Shah A et al. | — | 2021 | → |
| Metabolomics Reveals the Allelopathic Potential of the Invasive Plant <i>Eupatorium adenophorum</i>. | Zhu X et al. | — | 2021 | → |
| Metformin Reduces Histone H3K4me3 at the Promoter Regions of Positive Cell Cycle Regulatory Genes in Lung Cancer Cells. | Kim D et al. | — | 2021 | → |
| Muscle Glycogen Phosphorylase and Its Functional Partners in Health and Disease. | Migocka-Patrzałek M et al. | — | 2021 | → |
| Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics. | Gondal MN et al. | — | 2021 | → |
| Network theoretic analysis of JAK/STAT pathway and extrapolation to drugs and viruses including COVID-19. | Banerjee A et al. | — | 2021 | → |
| New Genotype of <i>Yersinia pestis</i> Found in Live Rodents in Yunnan Province, China. | Shi L et al. | — | 2021 | → |
| Peel learning for pathway-related outcome prediction. | Li Y et al. | — | 2021 | → |
| Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways. | Yu L et al. | — | 2021 | → |
| Prediction of drug adverse events using deep learning in pharmaceutical discovery. | Lee CY et al. | — | 2021 | → |
| Primary Chicken and Duck Endothelial Cells Display a Differential Response to Infection with Highly Pathogenic Avian Influenza Virus. | Tong ZWM et al. | — | 2021 | → |
| Restoration of type I interferon signaling in intrahepatically primed CD8+ T cells promotes functional differentiation. | Kawashima K et al. | — | 2021 | → |
| Screening Balanites aegyptiaca for inhibitors against putative drug targets in Microsporum gypseum - Subtractive proteome, docking and simulation approach. | Syed Abuthakir MH et al. | — | 2021 | → |
| SWATH-MS Based Proteomic Profiling of Prostate Cancer Cells Reveals Adaptive Molecular Mechanisms in Response to Anti-Androgen Therapy. | Liyanage C et al. | — | 2021 | → |
| Tanshinone IIA affects the malignant growth of Cholangiocarcinoma cells by inhibiting the PI3K-Akt-mTOR pathway. | Liu H et al. | — | 2021 | → |
| The Divergent Roles of the Rice bcl-2 Associated Athanogene (BAG) Genes in Plant Development and Environmental Responses. | Zhou H et al. | — | 2021 | → |
| The Metabolic Landscape of RAS-Driven Cancers from biology to therapy. | Mukhopadhyay S et al. | — | 2021 | → |
| The Tudor Domain-Containing Protein BbTdp1 Contributes to Fungal Cell Development, the Cell Cycle, Virulence, and Transcriptional Regulation in the Insect Pathogenic Fungus Beauveria bassiana. | Qiu L et al. | — | 2021 | → |
| Time-Resolved Proteome Analysis of <i>Listeria monocytogenes</i> during Infection Reveals the Role of the AAA+ Chaperone ClpC for Host Cell Adaptation. | Birk MS et al. | — | 2021 | → |
| TPPU treatment of burned mice dampens inflammation and generation of bioactive DHET which impairs neutrophil function. | Bergmann CB et al. | — | 2021 | → |
| Transcriptome analysis of the effect of a novel human serine protease inhibitor SPINK13 on gene expression in MHCC97-H cells. | Wei L et al. | — | 2021 | → |
| Transcriptome Analysis Reveals Different Responsive Patterns to Nitrogen Deficiency in Two Wheat Near-Isogenic Lines Contrasting for Nitrogen Use Efficiency. | Zhang X et al. | — | 2021 | → |
| Transcriptomic Analysis of <i>Pseudomonas aeruginosa</i> Response to Pine Honey via RNA Sequencing Indicates Multiple Mechanisms of Antibacterial Activity. | Kafantaris I et al. | — | 2021 | → |
| Transcriptomic Profiling of Tape-Strips From Moderate to Severe Atopic Dermatitis Patients Treated With Dupilumab. | Mikhaylov D et al. | — | 2021 | → |
| TRIOMPHE: Transcriptome-Based Inference and Generation of Molecules with Desired Phenotypes by Machine Learning. | Kaitoh K et al. | — | 2021 | → |
| Two novel qualitative transcriptional signatures robustly applicable to non-research-oriented colorectal cancer samples with low-quality RNA. | Cheng J et al. | — | 2021 | → |
| Understanding Competitive Endogenous RNA Network Mechanism in Type 1 Diabetes Mellitus Using Computational and Bioinformatics Approaches. | Yi X et al. | — | 2021 | → |
| Use of Network Pharmacology to Explore the Mechanism of Gegen (<i>Puerariae lobatae</i> Radix) in the Treatment of Type 2 Diabetes Mellitus Associated with Hyperlipidemia. | Yuan G et al. | — | 2021 | → |
| Using proteomic and transcriptomic data to assess activation of intracellular molecular pathways. | Buzdin A et al. | — | 2021 | → |
| Altered microRNA profiles of testicular biopsies from patients with nonobstructive azoospermia. | Zhang HT et al. | — | 2020 | → |
| A multimodal deep learning framework for predicting drug-drug interaction events. | Deng Y et al. | — | 2020 | → |
| Analysis of circular RNA-associated competing endogenous RNA network in breast cancer. | Wang X et al. | — | 2020 | → |
| A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment. | Guo X et al. | — | 2020 | → |
| Anti-Helicobacter pylori-associated gastritis effect of the ethyl acetate extract of Alpinia officinarum Hance through MAPK signaling pathway. | Ma X et al. | — | 2020 | → |
| Anti-tumor immune response varies among individuals: A gene expression profiling of mouse melanoma. | Yang X et al. | — | 2020 | → |
| A Regularization-Based Adaptive Test for High-Dimensional Generalized Linear Models. | Wu C et al. | — | 2020 | → |
| Are We Meeting the Promise of Endotypes and Precision Medicine in Asthma? | Ray A et al. | — | 2020 | → |
| A Single-Cell Transcriptional Roadmap of the Mouse and Human Lymph Node Lymphatic Vasculature. | Xiang M et al. | — | 2020 | → |
| Bioinformatic screening and identification of downregulated hub genes in adrenocortical carcinoma. | Xu F et al. | — | 2020 | → |
| Characterization of Extracellular HSV-1 Virions by Proteomics. | Lippé R | — | 2020 | → |
| Circulating miRNAs as molecular markers of occupational grain dust exposure. | Straumfors A et al. | — | 2020 | → |
| Comparative Analysis of Microbial Community Structure and Function in the Gut of Wild and Captive Amur Tiger. | Ning Y et al. | — | 2020 | → |
| Comparative Genomic Analysis of a Novel Strain of Taiwan Hot-Spring Cyanobacterium <i>Thermosynechococcus</i> sp. CL-1. | Cheng YI et al. | — | 2020 | → |
| Comprehensive analysis of circRNA expression profiles and circRNA-associated competing endogenous RNA networks in IgA nephropathy. | Liu H et al. | — | 2020 | → |
| Detection of copy number variation and selection signatures on the X chromosome in Chinese indigenous sheep with different types of tail. | Zhu C et al. | — | 2020 | → |
| Effects of storage on brown rice (<i>Oryza sativa</i> L.) metabolites, analyzed using gas chromatography and mass spectrometry. | Wang C et al. | — | 2020 | → |
| Flexible bivariate correlated count data regression. | Ma Z et al. | — | 2020 | → |
| Functional Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling. | Overton IM et al. | — | 2020 | → |
| Gene coexpression network analysis and tissue-specific profiling of gene expression in jute (Corchorus capsularis L.). | Yang Z et al. | — | 2020 | → |
| Gene Expression and K<sup>+</sup> Uptake of Two Tomato Cultivars in Response to Sub-Optimal Temperature. | Gao H et al. | — | 2020 | → |
| Glucocorticoids induce differentiation and chemoresistance in ovarian cancer by promoting ROR1-mediated stemness. | Karvonen H et al. | — | 2020 | → |
| Hatsusamides A and B: Two New Metabolites Produced by the Deep-Sea-Derived Fungal Strain <i>Penicillium steckii</i> FKJ-0213. | Matsuo H et al. | — | 2020 | → |
| High Expression of the SH3TC2-DT/SH3TC2 Gene Pair Associated With FLT3 Mutation and Poor Survival in Acute Myeloid Leukemia: An Integrated TCGA Analysis. | Yu P et al. | — | 2020 | → |
| Identification of a competing endogenous RNA network associated with prognosis of pancreatic adenocarcinoma. | Weng W et al. | — | 2020 | → |
| Identification of distinct blood-based biomarkers in early stage of Parkinson's disease. | Wu Y et al. | — | 2020 | → |
| Integrated transcriptomic and proteomic analyses of the tissues from the digestive gland of Chlamys farreri following cadmium exposure. | Zhang H et al. | — | 2020 | → |
| Investigating the Transition of Pre-Symptomatic to Symptomatic Huntington's Disease Status Based on Omics Data. | Christodoulou CC et al. | — | 2020 | → |
| LAMP: disease classification derived from layered assessment on modules and pathways in the human gene network. | Mi Z et al. | — | 2020 | → |
| Loss-of-function tolerance of enhancers in the human genome. | Xu D et al. | — | 2020 | → |
| Metagenomic dataset on lichen <i>Dirinaria</i> sp. from the Great Rann of Kutch and tropical moist deciduous Dang forest of Gujarat. | Puvar A et al. | — | 2020 | → |
| Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines. | Raimúndez E et al. | — | 2020 | → |
| Molecular heterogeneity in breast carcinoma cells with increased invasive capacities. | Negro G et al. | — | 2020 | → |
| Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targets. | Iida M et al. | — | 2020 | → |
| Omics-based Identification of Glycan Structures as Biomarkers for a Variety of Diseases. | Akiyoshi S et al. | — | 2020 | → |
| Open Data for Differential Network Analysis in Glioma. | Jean-Quartier C et al. | — | 2020 | → |
| PANEV: an R package for a pathway-based network visualization. | Palombo V et al. | — | 2020 | → |
| Pharmacodynamics of Ceftiofur Selected by Genomic and Proteomic Approaches of <i>Streptococcus parauberis</i> Isolated from the Flounder, <i>Paralichthys olivaceus</i>. | Boby N et al. | — | 2020 | → |
| Plasma-Derived Extracellular Vesicle Phosphoproteomics through Chemical Affinity Purification. | Iliuk A et al. | — | 2020 | → |
| Polyunsaturated Fatty Acids of Both the Omega-3 and the Omega-6 Family Abrogate the Cytokine-Induced Upregulation of miR-29a-3p by Endothelial Cells. | Maucher D et al. | — | 2020 | → |
| Prediction of a competing endogenous RNA co-expression network as a prognostic marker in glioblastoma. | Peng Q et al. | — | 2020 | → |
| Predict New Therapeutic Drugs for Hepatocellular Carcinoma Based on Gene Mutation and Expression. | Yu L et al. | — | 2020 | → |
| Prognostic value of microRNAs in pancreatic cancer: a meta-analysis. | Zhao F et al. | — | 2020 | → |
| Protective Intranasal Immunization Against Influenza Virus in Infant Mice Is Dependent on IL-6. | Bonney EA et al. | — | 2020 | → |
| Protein Network Analysis of the Fifth Chromosome of Zebrafish. | Li L et al. | — | 2020 | → |
| Screening for Sulfur Compounds by Molybdenum-Catalyzed Oxidation Combined with Liquid Chromatography-Mass Spectrometry. | Matsuo H et al. | — | 2020 | → |
| Survey of Similarity-Based Prediction of Drug-Protein Interactions. | Wang C et al. | — | 2020 | → |
| The whole-genome sequence analysis of Enterobacter cloacae strain Ghats1: insights into endophytic lifestyle-associated genomic adaptations. | Shastry RP et al. | — | 2020 | → |
| Thioporidiols A and B: Two New Sulfur Compounds Discovered by Molybdenum-Catalyzed Oxidation Screening from <i>Trichoderma polypori</i> FKI-7382. | Matsuo H et al. | — | 2020 | → |
| TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy. | Sun J et al. | — | 2020 | → |
| To construct a ceRNA regulatory network as prognostic biomarkers for bladder cancer. | Jiang J et al. | — | 2020 | → |
| Toolbox Accelerating Glycomics (TAG): Glycan Annotation from MALDI-TOF MS Spectra and Mapping Expression Variation to Biosynthetic Pathways. | Miura N et al. | — | 2020 | → |
| Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacity. | Kumar T et al. | — | 2020 | → |
| Transcriptome analysis and transcription factors responsive to drought stress in <i>Hibiscus cannabinus</i>. | An X et al. | — | 2020 | → |
| Transcriptome Profiling Associated with Carcass Quality of Loin Muscles in Crossbred Pigs. | Kim SM et al. | — | 2020 | → |
| Transcriptomics-Based Drug Repurposing Approach Identifies Novel Drugs against Sorafenib-Resistant Hepatocellular Carcinoma. | Regan-Fendt K et al. | — | 2020 | → |
| Trichothioneic acid, a new antioxidant compound produced by the fungal strain Trichoderma virens FKI-7573. | Miyano R et al. | — | 2020 | → |
| TriRNSC: triclustering of gene expression microarray data using restricted neighbourhood search. | Biswal BS et al. | — | 2020 | → |
| Whole-genome sequencing of recurrent neuroblastoma reveals somatic mutations that affect key players in cancer progression and telomere maintenance. | Fransson S et al. | — | 2020 | → |
| A genome-scale metabolic network reconstruction of extremely halophilic bacterium Salinibacter ruber. | Bagheri M et al. | — | 2019 | → |
| Analyzing hedyotis diffusa mechanisms of action from the genomics perspective. | Hu CJ et al. | — | 2019 | → |
| A powerful and data-adaptive test for rare-variant-based gene-environment interaction analysis. | Yang T et al. | — | 2019 | → |
| Astrocyte-specific transcriptome analysis using the ALDH1L1 bacTRAP mouse reveals novel biomarkers of astrogliosis in response to neurotoxicity. | Michalovicz LT et al. | — | 2019 | → |
| 'Candidatus Phytoplasma solani' interferes with the distribution and uptake of iron in tomato. | Buoso S et al. | — | 2019 | → |
| Characterization and expression analysis of immune-related genes in the red swamp crayfish, Procambarus clarkii in response to lipopolysaccharide challenge. | Jiao T et al. | — | 2019 | → |
| Chromosome-level genome assembly for giant panda provides novel insights into Carnivora chromosome evolution. | Fan H et al. | — | 2019 | → |
| Comprehensive analysis of an lncRNA-miRNA-mRNA competing endogenous RNA network in pulpitis. | Lei F et al. | — | 2019 | → |
| DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels. | Yan C et al. | — | 2019 | → |
| Decreased metabolism and increased tolerance to extreme environments in Staphylococcus warneri during long-term spaceflight. | Bai P et al. | — | 2019 | → |
| Disease classification via gene network integrating modules and pathways. | Mi Z et al. | — | 2019 | → |
| Draft Genome Sequence of <i>Dicyma pulvinata</i> Strain 414-3, a Mycoparasite of <i>Cladosporium fulvum</i>, Causal Agent of Tomato Leaf Mold. | Sushida H et al. | — | 2019 | → |
| Drug knowledge bases and their applications in biomedical informatics research. | Zhu Y et al. | — | 2019 | → |
| Early Transcriptional Signature in Dendritic Cells and the Induction of Protective T Cell Responses Upon Immunization With VLPs Containing TLR Ligands-A Role for CCL2. | Gomes AC et al. | — | 2019 | → |
| Effect of M2 macrophage adoptive transfer on transcriptome profile of injured spinal cords in rats. | Chen J et al. | — | 2019 | → |
| eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates. | Pu L et al. | — | 2019 | → |
| Evaluation of Disease Severity and Global Transcriptome Response Induced by <i>Citrus bark cracking viroid</i>, <i>Hop latent viroid</i>, and Their Co-Infection in Hop (<i>Humulus lupulus</i> L.). | Štajner N et al. | — | 2019 | → |
| Exploring the microbiota and metabolites of traditional rice beer varieties of Assam and their functionalities. | Das S et al. | — | 2019 | → |
| Gene fingerprint model for literature based detection of the associations among complex diseases: a case study of COPD. | Chen G et al. | — | 2019 | → |
| Gene networking in colistin-induced nephrotoxicity reveals an adverse outcome pathway triggered by proteotoxic stress. | Lee EH et al. | — | 2019 | → |
| Genomic Characterization of the Periwinkle Leaf Yellowing (PLY) Phytoplasmas in Taiwan. | Cho ST et al. | — | 2019 | → |
| Herb Target Prediction Based on Representation Learning of Symptom related Heterogeneous Network. | Wang N et al. | — | 2019 | → |
| Identification of Common and Subtype-Specific Mutated Sub-Pathways for a Cancer. | Yan H et al. | — | 2019 | → |
| Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning. | Ding Y et al. | — | 2019 | → |
| Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis. | Shen J et al. | — | 2019 | → |
| Identification of key genes and pathways between type I and type II endometrial cancer using bioinformatics analysis. | Zhang K et al. | — | 2019 | → |
| In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer. | Baruah MM et al. | — | 2019 | → |
| In Silico Target Prediction for Small Molecules. | Byrne R et al. | — | 2019 | → |
| Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer. | Si M et al. | — | 2019 | → |
| Integrating genetic, transcriptional, and biological information provides insights into obesity. | Wang L et al. | — | 2019 | → |
| Irf3 from mandarin fish thymus initiates interferon transcription. | Chen X et al. | — | 2019 | → |
| Mesenchymal stem cell-derived exosomes: a new therapeutic approach to osteoarthritis? | Mianehsaz E et al. | — | 2019 | → |
| Microbiome Signatures Associated With Steatohepatitis and Moderate to Severe Fibrosis in Children With Nonalcoholic Fatty Liver Disease. | Schwimmer JB et al. | — | 2019 | → |
| miR-142-5p enhances cisplatin-induced apoptosis in ovarian cancer cells by targeting multiple anti-apoptotic genes. | Li X et al. | — | 2019 | → |
| MiR-30c/PGC-1β protects against diabetic cardiomyopathy via PPARα. | Yin Z et al. | — | 2019 | → |
| Multi-Omics Approaches to Study Long Non-coding RNA Function in Atherosclerosis. | Turner AW et al. | — | 2019 | → |
| Multi-Target Drugs Against Metabolic Disorders. | Scotti L et al. | — | 2019 | → |
| New approach for understanding genome variations in KEGG. | Kanehisa M et al. | — | 2019 | → |
| Porcine Feed Efficiency-Associated Intestinal Microbiota and Physiological Traits: Finding Consistent Cross-Locational Biomarkers for Residual Feed Intake. | McCormack UM et al. | — | 2019 | → |
| Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. | Iwata M et al. | — | 2019 | → |
| Prediction of competing endogenous RNA coexpression network as prognostic markers in AML. | Wang JD et al. | — | 2019 | → |
| Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction. | Zhang W et al. | — | 2019 | → |
| RNA-seq profiles of putative genes involved in specific immune priming in Bombyx mori haemocytes. | Yi Y et al. | — | 2019 | → |
| Simultaneous clustering of multiview biomedical data using manifold optimization. | Yu Y et al. | — | 2019 | → |
| Strategies for Pathway Analysis Using GWAS and WGS Data. | White MJ et al. | — | 2019 | → |
| Systematic identification of lncRNA-based prognostic biomarkers for glioblastoma. | Li M et al. | — | 2019 | → |
| The computational prediction of drug-disease interactions using the dual-network L<sub>2,1</sub>-CMF method. | Cui Z et al. | — | 2019 | → |
| The genome of 'Candidatus Phytoplasma solani' strain SA-1 is highly dynamic and prone to adopting foreign sequences. | Music MS et al. | — | 2019 | → |
| The gut microbiome of Mexican children affected by obesity. | Maya-Lucas O et al. | — | 2019 | → |
| The Use of Large-Scale Chemically-Induced Transcriptome Data Acquired from LINCS to Study Small Molecules. | Iwata M et al. | — | 2019 | → |
| Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis. | Liu X et al. | — | 2019 | → |
| Transcriptome profiling reveals the response process of tomato carrying Cf-19 and Cladosporium fulvum interaction. | Zhao T et al. | — | 2019 | → |
| Untargeted metabolomics of the bacterial tongue coating of intra-oral halitosis patients. | Seerangaiyan K et al. | — | 2019 | → |
| Web-based drug repurposing tools: a survey. | Sam E et al. | — | 2019 | → |
| Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies. | Park JY et al. | — | 2018 | → |
| Adverse Drug Reaction Predictions Using Stacking Deep Heterogeneous Information Network Embedding Approach. | Hu B et al. | — | 2018 | → |
| Alka(e)ne synthesis in Cupriavidus necator boosted by the expression of endogenous and heterologous ferredoxin-ferredoxin reductase systems. | Crépin L et al. | — | 2018 | → |
| An Integrated Approach for Identifying Molecular Subtypes in Human Colon Cancer Using Gene Expression Data. | Wang WH et al. | — | 2018 | → |
| autoHGPEC: Automated prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network | Le D et al. | — | 2018 | — |
| BioPS: System for screening and assessment of biofuel-production potential of cyanobacteria. | Motwalli O et al. | — | 2018 | → |
| Ca. Endozoicomonas cretensis: A Novel Fish Pathogen Characterized by Genome Plasticity. | Qi W et al. | — | 2018 | → |
| CGPS: A machine learning-based approach integrating multiple gene set analysis tools for better prioritization of biologically relevant pathways. | Ai C et al. | — | 2018 | → |
| Comparisons of gene coexpression network modules in breast cancer and ovarian cancer. | Zhang S | — | 2018 | → |
| Complete Genome Sequence of Agrobacterium tumefaciens 1D1609. | Cho ST et al. | — | 2018 | → |
| Computational functional genomics-based approaches in analgesic drug discovery and repurposing. | Lippmann C et al. | — | 2018 | → |
| Decoding Common Features of Neurodegenerative Disorders: From Differentially Expressed Genes to Pathways. | Habib R et al. | — | 2018 | → |
| Decreased T cell expression of H/ACA box small nucleolar RNA 12 promotes lupus pathogenesis in patients with systemic lupus erythematosus. | Lai NS et al. | — | 2018 | → |
| Dissecting the Repertoire of DNA-Binding Transcription Factors of the Archaeon Pyrococcus furiosus DSM 3638. | Denis A et al. | — | 2018 | → |
| Drug Response Prediction by Globally Capturing Drug and Cell Line Information in a Heterogeneous Network. | Le DH et al. | — | 2018 | → |
| Dynamic elementary mode modelling of non-steady state flux data. | Folch-Fortuny A et al. | — | 2018 | → |
| DynSig: Modelling Dynamic Signaling Alterations along Gene Pathways for Identifying Differential Pathways. | Shi M et al. | — | 2018 | → |
| Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model. | Fröhlich F et al. | — | 2018 | → |
| Enterocolitis due to immune checkpoint inhibitors: a systematic review. | Soularue E et al. | — | 2018 | → |
| Exploring the Human Microbiome: The Potential Future Role of Next-Generation Sequencing in Disease Diagnosis and Treatment. | Malla MA et al. | — | 2018 | → |
| Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays. | Shen H et al. | — | 2018 | → |
| Functional network analysis reveals biological roles of lncRNAs and mRNAs in MOG<sub>35-55</sub> specific CD4<sup>+</sup>T helper cells. | Li Z et al. | — | 2018 | → |
| Gene Expression Meta-Analysis of Seven Candidate Gene Sets for Diabetes Traits Following a GWAS Pathway Study. | Mei H et al. | — | 2018 | → |
| Genetic variants in two pathways influence serum urate levels and gout risk: a systematic pathway analysis. | Dong Z et al. | — | 2018 | → |
| Genome sequence and comparative analysis of Jiangella alba YIM 61503<sup>T</sup> isolated from a medicinal plant Maytenus austroyunnanensis. | Jiao JY et al. | — | 2018 | → |
| Global gene-expression profiles of intracellular survival of the BruAb2_1031 gene mutated Brucella abortus in professional phagocytes, RAW 264.7 cells. | Jung M et al. | — | 2018 | → |
| Global testing of shifts in metabolic phenotype. | Fazelzadeh P et al. | — | 2018 | → |
| Human Plasma Metabolomics Implicates Modified 9-cis-Retinoic Acid in the Phenotype of Left Main Artery Lesions in Acute ST-Segment Elevated Myocardial Infarction. | Huang L et al. | — | 2018 | → |
| Identification of potential drug targets and inhibitor of the pathogenic bacteria <i>Shigella flexneri</i> 2a through the subtractive genomic approach. | Oany AR et al. | — | 2018 | → |
| In Silico Knockout Screening of <i>Plasmodium falciparum</i> Reactions and Prediction of Novel Essential Reactions by Analysing the Metabolic Network. | Oyelade J et al. | — | 2018 | → |
| In vivo systems biology approaches to chronic immune/inflammatory pathophysiology. | Starchenko A et al. | — | 2018 | → |
| Is there foul play in the leaf pocket? The metagenome of floating fern Azolla reveals endophytes that do not fix N<sub>2</sub> but may denitrify. | Dijkhuizen LW et al. | — | 2018 | → |
| KampoDB, database of predicted targets and functional annotations of natural medicines. | Sawada R et al. | — | 2018 | → |
| Late-Onset Crohn's Disease Is A Subgroup Distinct in Genetic and Behavioral Risk Factors With UC-Like Characteristics. | Li D et al. | — | 2018 | → |
| LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning. | Yang C et al. | — | 2018 | → |
| Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis. | Wu Y et al. | — | 2018 | → |
| Mapping the microRNA Expression Profiles in Glyoxalase Over-expressing Salinity Tolerant Rice. | Tripathi A et al. | — | 2018 | → |
| miR-34b/c Regulates Wnt1 and Enhances Mesencephalic Dopaminergic Neuron Differentiation. | De Gregorio R et al. | — | 2018 | → |
| miRwayDB: a database for experimentally validated microRNA-pathway associations in pathophysiological conditions. | Das SS et al. | — | 2018 | → |
| mus-52 disruption and metabolic regulation in Neurospora crassa: Transcriptional responses to extracellular phosphate availability. | Martins MP et al. | — | 2018 | → |
| Oak genome reveals facets of long lifespan. | Plomion C et al. | — | 2018 | → |
| Pathway based therapeutic targets identification and development of an interactive database CampyNIBase of Campylobacter jejuni RM1221 through non-redundant protein dataset. | Hossain MU et al. | — | 2018 | → |
| Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks. | Zheng F et al. | — | 2018 | → |
| Potential Breast Anticancer Drug Targets Revealed by Differential Gene Regulatory Network Analysis and Molecular Docking: Neoadjuvant Docetaxel Drug as a Case Study. | Aloraini A et al. | — | 2018 | → |
| Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network. | Zhang W et al. | — | 2018 | → |
| Predicting drug-disease associations by using similarity constrained matrix factorization. | Zhang W et al. | — | 2018 | → |
| Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures. | Sawada R et al. | — | 2018 | → |
| Prediction of Central Nervous System Side Effects Through Drug Permeability to Blood-Brain Barrier and Recommendation Algorithm. | Fan J et al. | — | 2018 | → |
| Prediction of Effective Drug Combinations by an Improved Naïve Bayesian Algorithm. | Bai LY et al. | — | 2018 | → |
| Prioritization of Candidate Genes for Congenital Diaphragmatic Hernia in a Critical Region on Chromosome 4p16 using a Machine-Learning Algorithm. | Callaway DA et al. | — | 2018 | → |
| Proteomics for Biomarker Identification and Clinical Application in Kidney Disease. | Chen L et al. | — | 2018 | → |
| Reconstructing the functions of endosymbiotic Mollicutes in fungus-growing ants. | Sapountzis P et al. | — | 2018 | → |
| Reconstruction and Analysis of a Genome-Scale Metabolic Model of <i>Ganoderma lucidum</i> for Improved Extracellular Polysaccharide Production. | Ma Z et al. | — | 2018 | → |
| Relation extraction for biological pathway construction using node2vec. | Kim M et al. | — | 2018 | → |
| SMART Cancer Navigator: A Framework for Implementing ASCO Workshop Recommendations to Enable Precision Cancer Medicine. | Warner JL et al. | — | 2018 | → |
| Structure Based Virtual Screening Studies to Identify Novel Potential Compounds for GPR142 and Their Relative Dynamic Analysis for Study of Type 2 Diabetes. | Kaushik AC et al. | — | 2018 | → |
| Systemic tracking of diagnostic function modules for post-menopausal osteoporosis in a differential co-expression network view. | Wang CE et al. | — | 2018 | → |
| Tissue-Specific Analysis of Pharmacological Pathways. | Hao Y et al. | — | 2018 | → |
| Transcriptome analysis of differentially expressed genes involved in innate immunity following Bacillus thuringiensis challenge in Bombyx mori larvae. | Wu G et al. | — | 2018 | → |
| Transcriptome sequencing and de novo assembly in arecanut, <i>Areca catechu</i> L elucidates the secondary metabolite pathway genes. | Manimekalai R et al. | — | 2018 | → |
| Transcript Profiling of MRSA Biofilms Treated with a Halogenated Phenazine Eradicating Agent: A Platform for Defining Cellular Targets and Pathways Critical to Biofilm Survival. | Abouelhassan Y et al. | — | 2018 | → |
| VAReporter: variant reporter for cancer research of massive parallel sequencing. | Huang PJ et al. | — | 2018 | → |
| Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data. | Lee J et al. | — | 2018 | → |
| A Comprehensive Survey of the Roles of Highly Disordered Proteins in Type 2 Diabetes. | Du Z et al. | — | 2017 | → |
| A few sequence polymorphisms among isolates of Maize bushy stunt phytoplasma associate with organ proliferation symptoms of infected maize plants. | Orlovskis Z et al. | — | 2017 | → |
| Altered microRNA and Piwi-interacting RNA profiles in cumulus cells from patients with diminished ovarian reserve. | Chen D et al. | — | 2017 | → |
| Analysis of differentially expressed microRNAs in MEN1 parathyroid adenomas. | Luzi E et al. | — | 2017 | → |
| Analyzing Microarray Data. | Hung JH et al. | — | 2017 | → |
| Antigenic and immunosuppressive properties of a trimeric recombinant transmembrane envelope protein gp41 of HIV-1. | Mühle M et al. | — | 2017 | → |
| A unified frame of predicting side effects of drugs by using linear neighborhood similarity. | Zhang W et al. | — | 2017 | → |
| Bioinformatic Approaches Including Predictive Metagenomic Profiling Reveal Characteristics of Bacterial Response to Petroleum Hydrocarbon Contamination in Diverse Environments. | Mukherjee A et al. | — | 2017 | → |
| Cancer Stem Cells Therapeutic Target Database: The First Comprehensive Database for Therapeutic Targets of Cancer Stem Cells. | Hu X et al. | — | 2017 | → |
| Chemoproteomic Profiling of Bile Acid Interacting Proteins. | Zhuang S et al. | — | 2017 | → |
| Combination of iTRAQ proteomics and RNA-seq transcriptomics reveals multiple levels of regulation in phytoplasma-infected <i>Ziziphus jujuba</i> Mill. | Ye X et al. | — | 2017 | → |
| Comparative analysis of pre- and post-parasitic transcriptomes and mining pioneer effectors of <i>Heterodera avenae</i>. | Yang D et al. | — | 2017 | → |
| Comparative Genomic and Regulatory Analyses of Natamycin Production of Streptomyces lydicus A02. | Wu H et al. | — | 2017 | → |
| Complete Genome Sequence of Spiroplasma sp. TU-14. | Lo WS et al. | — | 2017 | → |
| Comprehensive analysis of long non-coding RNA and mRNA expression profiles in rheumatoid arthritis. | Luo Q et al. | — | 2017 | → |
| Computational analyses of type 2 diabetes-associated loci identified by genome-wide association studies. | Cheng M et al. | — | 2017 | → |
| Constraint and Contingency Pervade the Emergence of Novel Phenotypes in Complex Metabolic Systems. | Hosseini SR et al. | — | 2017 | → |
| Detection of Significant Pneumococcal Meningitis Biomarkers by Ego Network. | Wang Q et al. | — | 2017 | → |
| Determining Cysteines Available for Covalent Inhibition Across the Human Kinome. | Zhao Z et al. | — | 2017 | → |
| Diverse type 2 diabetes genetic risk factors functionally converge in a phenotype-focused gene network. | Sandor C et al. | — | 2017 | → |
| Draft Genome Sequence of <i>Rhizobium</i> sp. Strain TBD182, an Antagonist of the Plant-Pathogenic Fungus <i>Fusarium oxysporum</i>, Isolated from a Novel Hydroponics System Using Organic Fertilizer. | Iida Y et al. | — | 2017 | → |
| DrugClust: A machine learning approach for drugs side effects prediction. | Dimitri GM et al. | — | 2017 | → |
| Drug repurposing in idiopathic pulmonary fibrosis filtered by a bioinformatics-derived composite score. | Karatzas E et al. | — | 2017 | → |
| Drug-Target Interaction Prediction through Label Propagation with Linear Neighborhood Information. | Zhang W et al. | — | 2017 | → |
| Effects of low dose ionizing radiation on DNA damage-caused pathways by reverse-phase protein array and Bayesian networks. | Kim DC et al. | — | 2017 | → |
| Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics. | Iwata M et al. | — | 2017 | → |
| Evidence-Based Precision Oncology with the Cancer Targetome. | Blucher AS et al. | — | 2017 | → |
| FARNA: knowledgebase of inferred functions of non-coding RNA transcripts. | Alam T et al. | — | 2017 | → |
| Flexible Analog Search with Kernel PCA Embedded Molecule Vectors. | Rensi S et al. | — | 2017 | → |
| Genome-wide association studies and genomic prediction of breeding values for calving performance and body conformation traits in Holstein cattle. | Abo-Ismail MK et al. | — | 2017 | → |
| Genome-Wide SNP Signal Intensity Scanning Revealed Genes Differentiating Cows with Ovarian Pathologies from Healthy Cows. | Salomón-Torres R et al. | — | 2017 | → |
| HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network. | Le DH et al. | — | 2017 | → |
| Identification of genes associated with tongue cancer in patients with a history of tobacco and/or alcohol use. | Zhao Y et al. | — | 2017 | → |
| Identification of Significant Pathways Induced by PAX5 Haploinsufficiency Based on Protein-Protein Interaction Networks and Cluster Analysis in Raji Cell Line. | Gu J et al. | — | 2017 | → |
| IMPACT OF TIGECYCLINE VERSUS OTHER ANTIBIOTICS ON THE FECAL METABOLOME AND ON COLONIZATION RESISTANCE TO <i>CLOSTRIDIUM DIFFICILE</i> IN MICE. | Jump RL et al. | — | 2017 | → |
| In silico screening for candidate chassis strains of free fatty acid-producing cyanobacteria. | Motwalli O et al. | — | 2017 | → |
| KEGG: new perspectives on genomes, pathways, diseases and drugs. | Kanehisa M et al. | — | 2017 | → |
| Liquid Chromatography Mass Spectrometry-Based Metabolite Pathway Analyses of Myeloma and Non-Hodgkin's Lymphoma Patients. | Medriano CAD et al. | — | 2017 | → |
| Metabolomic analysis of tomato seed germination. | Kazmi RH et al. | — | 2017 | → |
| MicroRNA-146a Overexpression Impairs the Positive Selection during T Cell Development. | Li Z et al. | — | 2017 | → |
| miRnalyze: an interactive database linking tool to unlock intuitive microRNA regulation of cell signaling pathways. | Subhra Das S et al. | — | 2017 | → |
| Network-based machine learning and graph theory algorithms for precision oncology. | Zhang W et al. | — | 2017 | → |
| Node-based differential network analysis in genomics. | Zhang XF et al. | — | 2017 | → |
| Novel insights into the regulatory roles of gene hshB in Xanthomonas oryzae pv. oryzicola. | Song Z et al. | — | 2017 | → |
| On the importance of composite protein multiple ligand interactions in protein pockets. | Tonddast-Navaei S et al. | — | 2017 | → |
| Oxidation of monoterpenes in Protium heptaphyllum oleoresins. | Albino RC et al. | — | 2017 | → |
| Phosphoserine aminotransferase 1 is associated to poor outcome on tamoxifen therapy in recurrent breast cancer. | De Marchi T et al. | — | 2017 | → |
| Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data. | Zhang W et al. | — | 2017 | → |
| Protein homeostasis of a metastable subproteome associated with Alzheimer's disease. | Kundra R et al. | — | 2017 | → |
| Quantitative prediction of drug side effects based on drug-related features. | Niu Y et al. | — | 2017 | → |
| Respiratory cancer database: An open access database of respiratory cancer gene and miRNA. | Choubey J et al. | — | 2017 | → |
| RNA-sequencing Identifies Novel Pathways in Sarcoidosis Monocytes. | Talreja J et al. | — | 2017 | → |
| Salt-induced phosphoproteomic changes in the hypothalamic paraventricular nucleus in rats with chronic renal failure. | Li L et al. | — | 2017 | → |
| SSER: Species specific essential reactions database. | Labena AA et al. | — | 2017 | → |
| STX12 lncRNA/miR-148a/SMAD5 participate in the regulation of pancreatic stellate cell activation through a mechanism involving competing endogenous RNA. | Wang H et al. | — | 2017 | → |
| Target Safety Assessment: Strategies and Resources. | Brennan RJ | — | 2017 | → |
| The atopic dermatitis blood signature is characterized by increases in inflammatory and cardiovascular risk proteins. | Brunner PM et al. | — | 2017 | → |
| The prediction of a pathogenesis-related secretome of Puccinia helianthi through high-throughput transcriptome analysis. | Jing L et al. | — | 2017 | → |
| ThPP1 gene, encodes an inorganic pyrophosphatase in Thellungiella halophila, enhanced the tolerance of the transgenic rice to alkali stress. | He R et al. | — | 2017 | → |
| Tissue Non-Specific Genes and Pathways Associated with Diabetes: An Expression Meta-Analysis. | Mei H et al. | — | 2017 | → |
| Towards targeted combinatorial therapy design for the treatment of castration-resistant prostate cancer. | Arshad OA et al. | — | 2017 | → |
| Transcriptome Analysis of the <i>Sm</i>-Mediated Hypersensitive Response to <i>Stemphylium lycopersici</i> in Tomato. | Yang H et al. | — | 2017 | → |
| Transcriptome characterization of HPG axis from Chinese sea perch Lateolabrax maculatus. | Wang ZP et al. | — | 2017 | → |
| Transcriptomic alterations in Sitophilus zeamais in response to allyl isothiocyanate fumigation. | Zhang C et al. | — | 2017 | → |
| Translational Advances in the Field of Pulmonary Hypertension. Translating MicroRNA Biology in Pulmonary Hypertension. It Will Take More Than "miR" Words. | Chun HJ et al. | — | 2017 | → |
| Adaptive gene- and pathway-trait association testing with GWAS summary statistics. | Kwak IY et al. | — | 2016 | → |
| Analysis of copy number variations in Mexican Holstein cattle using axiom genome-wide Bos 1 array. | Salomon-Torres R et al. | — | 2016 | → |
| A network-based pathway-expanding approach for pathway analysis. | Zhang Q et al. | — | 2016 | → |
| A Network of Splice Isoforms for the Mouse. | Li HD et al. | — | 2016 | → |
| Application of Systems Biology to Neuroproteomics: The Path to Enhanced Theranostics in Traumatic Brain Injury. | Jaber Z et al. | — | 2016 | → |
| A protein homeostasis signature in healthy brains recapitulates tissue vulnerability to Alzheimer's disease. | Freer R et al. | — | 2016 | → |
| A quantitative genome-wide RNAi screen in C. elegans for antifungal innate immunity genes. | Zugasti O et al. | — | 2016 | → |
| A Querying Method over RDF-ized Health Level Seven v2.5 Messages Using Life Science Knowledge Resources. | Kawazoe Y et al. | — | 2016 | → |
| Bioinformatic Evaluation of Transcriptional Regulation of WNT Pathway Genes with reference to Diabetic Nephropathy. | McKay GJ et al. | — | 2016 | → |
| Chemogenomic analysis of neuronal differentiation with pathway changes in PC12 cells. | Lin JY et al. | — | 2016 | → |
| Clustering of self-organizing map identifies five distinct medulloblastoma subgroups. | Cao C et al. | — | 2016 | → |
| Comparative genomic and transcriptomic analyses of the Fuzhuan brick tea-fermentation fungus Aspergillus cristatus. | Ge Y et al. | — | 2016 | → |
| Comparative proteomics analysis of apoptotic Spodoptera frugiperda cells during p35 knockout Autographa californica multiple nucleopolyhedrovirus infection. | Yu Q et al. | — | 2016 | → |
| Comparative Transcriptome Analysis Reveals Different Silk Yields of Two Silkworm Strains. | Li J et al. | — | 2016 | → |
| Comparing Drug Images and Repurposing Drugs with BioGPS and FLAPdock: The Thymidylate Synthase Case. | Siragusa L et al. | — | 2016 | → |
| Complete Genome Sequence of Spiroplasma helicoides TABS-2T (DSM 22551), a Bacterium Isolated from a Horsefly (Tabanus abactor). | Shen WY et al. | — | 2016 | → |
| Complete Genome Sequence of Spiroplasma turonicum Tab4cT, a Bacterium Isolated from Horse Flies (Haematopota sp.). | Lo WS et al. | — | 2016 | → |
| Comprehensive analysis of the long noncoding RNA HOXA11-AS gene interaction regulatory network in NSCLC cells. | Zhang Y et al. | — | 2016 | → |
| Computational identification and analysis of neurodegenerative disease associated protein kinases in hominid genomes. | Jayapalan S et al. | — | 2016 | → |
| Critical role of lysosomes in the dysfunction of human Cardiac Stem Cells obtained from failing hearts. | Gianfranceschi G et al. | — | 2016 | → |
| CSGene: a literature-based database for cell senescence genes and its application to identify critical cell aging pathways and associated diseases. | Zhao M et al. | — | 2016 | → |
| Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems. | Li Y et al. | — | 2016 | → |
| Data integration to prioritize drugs using genomics and curated data. | Louhimo R et al. | — | 2016 | → |
| De novo analysis of the transcriptome of Pratylenchus zeae to identify transcripts for proteins required for structural integrity, sensation, locomotion and parasitism. | Fosu-Nyarko J et al. | — | 2016 | → |
| De novo assembly and characterization of global transcriptome of coconut palm (Cocos nucifera L.) embryogenic calli using Illumina paired-end sequencing. | Rajesh MK et al. | — | 2016 | → |
| Differences down-under: alcohol-fueled methanogenesis by archaea present in Australian macropodids. | Hoedt EC et al. | — | 2016 | → |
| Discovering gene expression signatures responding to tyrosine kinase inhibitor treatment in chronic myeloid leukemia. | Cha K et al. | — | 2016 | → |
| DNA damage-induced ephrin-B2 reverse signaling promotes chemoresistance and drives EMT in colorectal carcinoma harboring mutant p53. | Alam SK et al. | — | 2016 | → |
| DNA microarray of global transcription factor mutant reveals membrane-related proteins involved in n-butanol tolerance in Escherichia coli. | Si HM et al. | — | 2016 | → |
| Down regulated lncRNA MEG3 eliminates mycobacteria in macrophages via autophagy. | Pawar K et al. | — | 2016 | → |
| ECGene: A Literature-Based Knowledgebase of Endometrial Cancer Genes. | Zhao M et al. | — | 2016 | → |
| Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition. | Li C et al. | — | 2016 | → |
| Emerging pathogens of gilthead seabream: characterisation and genomic analysis of novel intracellular β-proteobacteria. | Seth-Smith HM et al. | — | 2016 | → |
| Enterococcal Metabolite Cues Facilitate Interspecies Niche Modulation and Polymicrobial Infection. | Keogh D et al. | — | 2016 | → |
| Exploring mechanisms of Panax notoginseng saponins in treating coronary heart disease by integrating gene interaction network and functional enrichment analysis. | Yu G et al. | — | 2016 | → |
| Expression Profile of microRNAs and Their Targeted Pathways in Human Ovaries Detected by Next-Generation Small RNA Sequencing. | Xu B et al. | — | 2016 | → |
| FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics. | Huang J et al. | — | 2016 | → |
| GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data. | Ben-Ari Fuchs S et al. | — | 2016 | → |
| Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays. | Zhu C et al. | — | 2016 | → |
| Genome-wide pathway analysis for diabetic nephropathy in type 1 diabetes. | Lee YH et al. | — | 2016 | → |
| Host-Associated Genomic Features of the Novel Uncultured Intracellular Pathogen Ca. Ichthyocystis Revealed by Direct Sequencing of Epitheliocysts. | Qi W et al. | — | 2016 | → |
| How far from the SNP may the causative genes be? | Brodie A et al. | — | 2016 | → |
| Hypomethylation coordinates antagonistically with hypermethylation in cancer development: a case study of leukemia. | Kushwaha G et al. | — | 2016 | → |
| Identification of the anti-tumor activity and mechanisms of nuciferine through a network pharmacology approach. | Qi Q et al. | — | 2016 | → |
| Inferring propagation paths for sparsely observed perturbations on complex networks. | Massucci FA et al. | — | 2016 | → |
| Integrated analysis of proteome and transcriptome changes in the mucopolysaccharidosis type VII mouse hippocampus. | Parente MK et al. | — | 2016 | → |
| Integration of targeted metabolomics and transcriptomics identifies deregulation of phosphatidylcholine metabolism in Huntington's disease peripheral blood samples. | Mastrokolias A et al. | — | 2016 | → |
| Interferon-inducible GTPase: a novel viral response protein involved in rabies virus infection. | Li L et al. | — | 2016 | → |
| Intestinal microbiome analyses identify melanoma patients at risk for checkpoint-blockade-induced colitis. | Dubin K et al. | — | 2016 | → |
| LEGO: a novel method for gene set over-representation analysis by incorporating network-based gene weights. | Dong X et al. | — | 2016 | → |
| m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks. | Zhang SY et al. | — | 2016 | → |
| MCT1 Modulates Cancer Cell Pyruvate Export and Growth of Tumors that Co-express MCT1 and MCT4. | Hong CS et al. | — | 2016 | → |
| Metabolic network-guided binning of metagenomic sequence fragments. | Biggs MB et al. | — | 2016 | → |
| Metagenomic analysis of microbial community in uranium-contaminated soil. | Yan X et al. | — | 2016 | → |
| MicroRNAs as biomarkers associated with bladder cancer. | Homami A et al. | — | 2016 | → |
| MicroRNAs regulate gene plasticity during cold shock in zebrafish larvae. | Hung IC et al. | — | 2016 | → |
| miR-21 expression and clinical outcome in locally advanced pancreatic cancer: exploratory analysis of the pancreatic cancer Erbitux, radiotherapy and UFT (PERU) trial. | Khan K et al. | — | 2016 | → |
| NetDiff - Bayesian model selection for differential gene regulatory network inference. | Thorne T | — | 2016 | → |
| Non-coding RNAs in Development and Disease: Background, Mechanisms, and Therapeutic Approaches. | Beermann J et al. | — | 2016 | → |
| Non-Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non-Invasive Diagnostic Tools. | Kunz M et al. | — | 2016 | → |
| Nuclear Magnetic Resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma. | Monteiro MS et al. | — | 2016 | → |
| Phenotypic innovation through recombination in genome-scale metabolic networks. | Hosseini SR et al. | — | 2016 | → |
| PKCα and HMGB1 antagonistically control hydrogen peroxide-induced poly-ADP-ribose formation. | Andersson A et al. | — | 2016 | → |
| Prediction of scaffold proteins based on protein interaction and domain architectures. | Oh K et al. | — | 2016 | → |
| Preimplantation factor is an anti-apoptotic effector in human trophoblasts involving p53 signaling pathway. | Moindjie H et al. | — | 2016 | → |
| Proteomic and phosphoproteomic analysis of renal cortex in a salt-load rat model of advanced kidney damage. | Jiang S et al. | — | 2016 | → |
| REGene: a literature-based knowledgebase of animal regeneration that bridge tissue regeneration and cancer. | Zhao M et al. | — | 2016 | → |
| Rig-G is a growth inhibitory factor of lung cancer cells that suppresses STAT3 and NF-κB. | Li D et al. | — | 2016 | → |
| RNA sequencing to characterize transcriptional changes of sexual maturation and mating in the female oriental fruit fly Bactrocera dorsalis. | Zheng W et al. | — | 2016 | → |
| Sarcosine Up-Regulates Expression of Genes Involved in Cell Cycle Progression of Metastatic Models of Prostate Cancer. | Heger Z et al. | — | 2016 | → |
| Screening of long non-coding RNA and TUG1 inhibits proliferation with TGF-β induction in patients with COPD. | Tang W et al. | — | 2016 | → |
| snpGeneSets: An R Package for Genome-Wide Study Annotation. | Mei H et al. | — | 2016 | → |
| Sub-clinical detection of gut microbial biomarkers of obesity and type 2 diabetes. | Yassour M et al. | — | 2016 | → |
| SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets. | Guo J et al. | — | 2016 | → |
| Systematic analysis of somatic mutations driving cancer: uncovering functional protein regions in disease development. | Mészáros B et al. | — | 2016 | → |
| Systemic Approach to Virulence Gene Network Analysis for Gaining New Insight into Cryptococcal Virulence. | Malachowski AN et al. | — | 2016 | → |
| System Review about Function Role of ESCC Driver Gene KDM6A by Network Biology Approach. | Ran J et al. | — | 2016 | → |
| The Gut Microbiome of Pediatric Crohn's Disease Patients Differs from Healthy Controls in Genes That Can Influence the Balance Between a Healthy and Dysregulated Immune Response. | Dunn KA et al. | — | 2016 | → |
| The role of the intestinal microbiota in type 1 diabetes mellitus. | Knip M et al. | — | 2016 | → |
| The Use of Signal-Transduction and Metabolic Pathways to Predict Human Disease Targets from Electric and Magnetic Fields Using in vitro Data in Human Cell Lines. | Parham F et al. | — | 2016 | → |
| The Variable Regions of Lactobacillus rhamnosus Genomes Reveal the Dynamic Evolution of Metabolic and Host-Adaptation Repertoires. | Ceapa C et al. | — | 2016 | → |
| Tissue of origin dictates branched-chain amino acid metabolism in mutant Kras-driven cancers. | Mayers JR et al. | — | 2016 | → |
| Transcriptome analysis of dormant tomonts of the marine fish ectoparasitic ciliate Cryptocaryon irritans under low temperature. | Yin F et al. | — | 2016 | → |
| Transcriptome Analysis of the SL221 Cells at the Early Stage during Spodoptera litura Nucleopolyhedrovirus Infection. | Yu Q et al. | — | 2016 | → |
| Transcriptome Response Mediated by Cold Stress in Lotus japonicus. | Calzadilla PI et al. | — | 2016 | → |
| Transcriptome sequencing and characterization of ungerminated and germinated spores of Nosema bombycis. | Liu H et al. | — | 2016 | → |
| Transcriptome sequencing and de novo characterization of Korean endemic land snail, Koreanohadra kurodana for functional transcripts and SSR markers. | Kang SW et al. | — | 2016 | → |
| Undiscovered Physiology of Transcript and Protein Networks. | Monte E et al. | — | 2016 | → |
| Unfoldomics of prostate cancer: on the abundance and roles of intrinsically disordered proteins in prostate cancer. | Landau KS et al. | — | 2016 | → |
| USF1 deficiency activates brown adipose tissue and improves cardiometabolic health. | Laurila PP et al. | — | 2016 | → |
| WEVOTE: Weighted Voting Taxonomic Identification Method of Microbial Sequences. | Metwally AA et al. | — | 2016 | → |
| A genome-wide scan for copy number variations using high-density single nucleotide polymorphism array in Simmental cattle. | Wu Y et al. | — | 2015 | → |
| A metabolomic approach to identifying platinum resistance in ovarian cancer. | Poisson LM et al. | — | 2015 | → |
| An evidence-based knowledgebase of metastasis suppressors to identify key pathways relevant to cancer metastasis. | Zhao M et al. | — | 2015 | → |
| Antihistamines modulate the integrin signaling pathway in h9c2 rat cardiomyocytes: Possible association with cardiotoxicity. | Yun JS et al. | — | 2015 | → |
| A Powerful Pathway-Based Adaptive Test for Genetic Association with Common or Rare Variants. | Pan W et al. | — | 2015 | → |
| Bioinformatics of cardiovascular miRNA biology. | Kunz M et al. | — | 2015 | → |
| BioMiner: Paving the Way for Personalized Medicine. | Bauer C et al. | — | 2015 | → |
| Boolean network model for GPR142 against Type 2 diabetes and relative dynamic change ratio analysis using systems and biological circuits approach. | Kaushik AC et al. | — | 2015 | → |
| Characterization of microRNA profile in human cumulus granulosa cells: Identification of microRNAs that regulate Notch signaling and are associated with PCOS. | Xu B et al. | — | 2015 | → |
| Combined correlation-based network and mQTL analyses efficiently identified loci for branched-chain amino acid, serine to threonine, and proline metabolism in tomato seeds. | Toubiana D et al. | — | 2015 | → |
| Comparative genomics study of Salmonella Typhimurium LT2 for the identification of putative therapeutic candidates. | Samal HB et al. | — | 2015 | → |
| Comparative Transcriptome Analysis of Resistant and Susceptible Tomato Lines in Response to Infection by Xanthomonas perforans Race T3. | Du H et al. | — | 2015 | → |
| Complete Genome Sequence of Agrobacterium tumefaciens Ach5. | Huang YY et al. | — | 2015 | → |
| Complete Genome Sequence of Spiroplasma cantharicola CC-1T (DSM 21588), a Bacterium Isolated from Soldier Beetle (Cantharis carolinus). | Lo WS et al. | — | 2015 | → |
| Complete Genome Sequence of Spiroplasma litorale TN-1T (DSM 21781), a Bacterium Isolated from a Green-Eyed Horsefly (Tabanus nigrovittatus). | Lo WS et al. | — | 2015 | → |
| Copy number variation-based genome wide association study reveals additional variants contributing to meat quality in Swine. | Wang L et al. | — | 2015 | → |
| dbEMT: an epithelial-mesenchymal transition associated gene resource. | Zhao M et al. | — | 2015 | → |
| De Novo Assembly and Genome Analyses of the Marine-Derived Scopulariopsis brevicaulis Strain LF580 Unravels Life-Style Traits and Anticancerous Scopularide Biosynthetic Gene Cluster. | Kumar A et al. | — | 2015 | → |
| De novo assembly, transcriptome characterization, lignin accumulation, and anatomic characteristics: novel insights into lignin biosynthesis during celery leaf development. | Jia XL et al. | — | 2015 | → |
| Designing modulators of monoamine transporters using virtual screening techniques. | Mortensen OV et al. | — | 2015 | → |
| Differentially Expressed Genes and Signature Pathways of Human Prostate Cancer. | Myers JS et al. | — | 2015 | → |
| Differential mRNA expression profiling of oral squamous cell carcinoma by high-throughput RNA sequencing. | Ge L et al. | — | 2015 | → |
| Discovering transnosological molecular basis of human brain diseases using biclustering analysis of integrated gene expression data. | Cha K et al. | — | 2015 | → |
| Distal 10q trisomy with copy number gain in chromosome region 10q23.1-10q25.1: the Wnt signaling pathway is the most pertinent to the gene content in the region of copy number gain: a case report. | Wong SL et al. | — | 2015 | → |
| Down-regulation of IKKβ expression in glioma-infiltrating microglia/macrophages is associated with defective inflammatory/immune gene responses in glioblastoma. | Mieczkowski J et al. | — | 2015 | → |
| Draft Genome Sequence of a 16SrII-A Subgroup Phytoplasma Associated with Purple Coneflower (Echinacea purpurea) Witches' Broom Disease in Taiwan. | Chang SH et al. | — | 2015 | → |
| Dynamical modeling of uncertain interaction-based genomic networks. | Mohsenizadeh DN et al. | — | 2015 | → |
| Exhaustive Analysis of a Genotype Space Comprising 10(15 )Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation. | Hosseini SR et al. | — | 2015 | → |
| Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study. | Ge YZ et al. | — | 2015 | → |
| Found and Lost: The Fates of Horizontally Acquired Genes in Arthropod-Symbiotic Spiroplasma. | Lo WS et al. | — | 2015 | → |
| Genetic and metabolic engineering of microorganisms for the development of new flavor compounds from terpenic substrates. | Bution ML et al. | — | 2015 | → |
| Genetic variants and risk of gastric cancer: a pathway analysis of a genome-wide association study. | Lee JH et al. | — | 2015 | → |
| Genome Analysis of Pseudomonas fluorescens PCL1751: A Rhizobacterium that Controls Root Diseases and Alleviates Salt Stress for Its Plant Host. | Cho ST et al. | — | 2015 | → |
| Genome and Transcriptome of Clostridium phytofermentans, Catalyst for the Direct Conversion of Plant Feedstocks to Fuels. | Petit E et al. | — | 2015 | → |
| Genome-wide analysis of long noncoding RNA expression profiles in patients with non-alcoholic fatty liver disease. | Sun C et al. | — | 2015 | → |
| Genome-wide pathway analysis of a genome-wide association study on Alzheimer's disease. | Lee YH et al. | — | 2015 | → |
| Global Transcriptome Analysis Reveals Acclimation-Primed Processes Involved in the Acquisition of Desiccation Tolerance in Boea hygrometrica. | Zhu Y et al. | — | 2015 | → |
| GraphSAW: a web-based system for graphical analysis of drug interactions and side effects using pharmaceutical and molecular data. | Shoshi A et al. | — | 2015 | → |
| Heavy path mining of protein-protein associations in the malaria parasite. | Yu X et al. | — | 2015 | → |
| Identification of important interacting proteins (IIPs) in Plasmodium falciparum using large-scale interaction network analysis and in-silico knock-out studies. | Bhattacharyya M et al. | — | 2015 | → |
| Identification of potential drug targets by subtractive genome analysis of Escherichia coli O157:H7: an in silico approach. | Mondal SI et al. | — | 2015 | → |
| Identifying adverse drug reactions and drug-induced diseases using network-based drug mapping. | Shoshi A et al. | — | 2015 | → |
| Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology. | Vrahatis AG et al. | — | 2015 | → |
| Impact of Cadmium on Intracellular Zinc Levels in HepG2 Cells: Quantitative Evaluations and Molecular Effects. | Urani C et al. | — | 2015 | → |
| Insight into the primary mode of action of TiO2 nanoparticles on Escherichia coli in the dark. | Sohm B et al. | — | 2015 | → |
| In Silico Analysis and Experimental Validation of Active Compounds from Cichorium intybus L. Ameliorating Liver Injury. | Li GY et al. | — | 2015 | → |
| In silico comparative genomics analysis of Plasmodium falciparum for the identification of putative essential genes and therapeutic candidates. | Rout S et al. | — | 2015 | → |
| In silico database screening of potential targets and pathways of compounds contained in plants used for psoriasis vulgaris. | May BH et al. | — | 2015 | → |
| Integration of a prognostic gene module with a drug sensitivity module to identify drugs that could be repurposed for breast cancer therapy. | Zhu L et al. | — | 2015 | → |
| Integrative enrichment analysis: a new computational method to detect dysregulated pathways in heterogeneous samples. | Yu X et al. | — | 2015 | → |
| Integrative genomic signatures of hepatocellular carcinoma derived from nonalcoholic Fatty liver disease. | Frades I et al. | — | 2015 | → |
| Large-Scale Prediction of Beneficial Drug Combinations Using Drug Efficacy and Target Profiles. | Iwata H et al. | — | 2015 | → |
| LC-MS/MS-based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma. | Tsai TH et al. | — | 2015 | → |
| Lignocellulose degradation by the isolate of Streptomyces griseorubens JSD-1. | Feng H et al. | — | 2015 | → |
| Longitudinal omics modeling and integration in clinical metabonomics research: challenges in childhood metabolic health research. | Sperisen P et al. | — | 2015 | → |
| MAD Bayes for Tumor Heterogeneity - Feature Allocation with Exponential Family Sampling. | Xu Y et al. | — | 2015 | → |
| mBLAST: Keeping up with the sequencing explosion for (meta)genome analysis. | Davis C et al. | — | 2015 | → |
| MeDiA: Mean Distance Association and Its Applications in Nonlinear Gene Set Analysis. | Peng H et al. | — | 2015 | → |
| Metabolome variations in the Porphyromonas gingivalis vimA mutant during hydrogen peroxide-induced oxidative stress. | McKenzie RM et al. | — | 2015 | → |
| Microarray Analysis of Long Non-coding RNA Expression Profile Associated with 5-Fluorouracil-Based Chemoradiation Resistance in Colorectal Cancer Cells. | Xiong W et al. | — | 2015 | → |
| MiR-429 increases the metastatic capability of HCC via regulating classic Wnt pathway rather than epithelial-mesenchymal transition. | Tang J et al. | — | 2015 | → |
| miRNA Regulation Network Analysis in Qianliening Capsule Treatment of Benign Prostatic Hyperplasia. | Liu L et al. | — | 2015 | → |
| Modulation of macrophage activities in proliferation, lysosome, and phagosome by the nonspecific immunostimulator, mica. | Jung M et al. | — | 2015 | → |
| Network analysis of S. aureus response to ramoplanin reveals modules for virulence factors and resistance mechanisms and characteristic novel genes. | Subramanian D et al. | — | 2015 | → |
| Network inference through synergistic subnetwork evolution. | Acharya L et al. | — | 2015 | → |
| Nitrogen Cycling Potential of a Grassland Litter Microbial Community. | Nelson MB et al. | — | 2015 | → |
| PathCards: multi-source consolidation of human biological pathways. | Belinky F et al. | — | 2015 | → |
| Pathway-based personalized analysis of breast cancer expression data. | Livshits A et al. | — | 2015 | → |
| Pathway-level disease data mining through hyper-box principles. | Yang L et al. | — | 2015 | → |
| Pedican: an online gene resource for pediatric cancers with literature evidence. | Zhao M et al. | — | 2015 | → |
| PhIN: A Protein Pharmacology Interaction Network Database. | Wang Z et al. | — | 2015 | → |
| Predicting drug side effects by multi-label learning and ensemble learning. | Zhang W et al. | — | 2015 | → |
| Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner. | Hizukuri Y et al. | — | 2015 | → |
| Profiling of Selected MicroRNAs in Proliferative Eutopic Endometrium of Women with Ovarian Endometriosis. | Laudanski P et al. | — | 2015 | → |
| Protein-protein interaction databases. | Szklarczyk D et al. | — | 2015 | → |
| Proteins Related to the Type I Secretion System Are Associated with Secondary SecA_DEAD Domain Proteins in Some Species of Planctomycetes, Verrucomicrobia, Proteobacteria, Nitrospirae and Chlorobi. | Kamneva OK et al. | — | 2015 | → |
| Quantitative modeling of dose-response and drug combination based on pathway network. | Gu J et al. | — | 2015 | → |
| Role of Kinase Epidermal Growth Factor Receptor and SRC in the Caerulein-Induced Acute Pancreatitis in Mice. | Huang Y et al. | — | 2015 | → |
| Sequencing platform modeling and analysis. | Qin LX et al. | — | 2015 | → |
| Single-cell analysis of lung adenocarcinoma cell lines reveals diverse expression patterns of individual cells invoked by a molecular target drug treatment. | Suzuki A et al. | — | 2015 | → |
| Systematic analysis of the associations between adverse drug reactions and pathways. | Chen X et al. | — | 2015 | → |
| Systematic drug repositioning for a wide range of diseases with integrative analyses of phenotypic and molecular data. | Iwata H et al. | — | 2015 | → |
| Systemic Metabolomic Changes in Blood Samples of Lung Cancer Patients Identified by Gas Chromatography Time-of-Flight Mass Spectrometry. | Miyamoto S et al. | — | 2015 | → |
| Systems analysis reveals down-regulation of a network of pro-survival miRNAs drives the apoptotic response in dilated cardiomyopathy. | Isserlin R et al. | — | 2015 | → |
| Systems Biology and Biomarkers of Early Effects for Occupational Exposure Limit Setting. | DeBord DG et al. | — | 2015 | → |
| Target-Based Drug Repositioning Using Large-Scale Chemical-Protein Interactome Data. | Sawada R et al. | — | 2015 | → |
| Temporal metabolomic responses of cultured HepG2 liver cells to high fructose and high glucose exposures. | Meissen JK et al. | — | 2015 | → |
| The alignment of enzymatic steps reveals similar metabolic pathways and probable recruitment events in Gammaproteobacteria. | Poot-Hernandez AC et al. | — | 2015 | → |
| The CD8α gene in duck (Anatidae): cloning, characterization, and expression during viral infection. | Xu Q et al. | — | 2015 | → |
| The effect of antibiotic exposure on eicosanoid generation from arachidonic acid and gene expression in a primitive chordate, Branchiostoma belcheri. | Yuan D et al. | — | 2015 | → |
| The microRNA-130/301 family controls vasoconstriction in pulmonary hypertension. | Bertero T et al. | — | 2015 | → |
| Transcriptome Analysis in Haematococcus pluvialis: Astaxanthin Induction by Salicylic Acid (SA) and Jasmonic Acid (JA). | Gao Z et al. | — | 2015 | → |
| Transcriptome Analysis to Identify Cold-Responsive Genes in Amur Carp (Cyprinus carpio haematopterus). | Liang L et al. | — | 2015 | → |
| Transcriptome profiling and identification of transcription factors in ramie (Boehmeria nivea L. Gaud) in response to PEG treatment, using illumina paired-end sequencing technology. | An X et al. | — | 2015 | → |
| Transcriptome-wide analysis of DEAD-box RNA helicase gene family in an Antarctic psychrophilic alga Chlamydomonas sp. ICE-L. | Liu C et al. | — | 2015 | → |
| Unravelling adverse reactions to NSAIDs using systems biology. | Perkins JR et al. | — | 2015 | → |
| 17β-estradiol upregulates GREB1 and accelerates ovarian tumor progression in vivo. | Laviolette LA et al. | — | 2014 | → |
| 2-hydroxyisocaproic acid is fungicidal for Candida and Aspergillus species. | Sakko M et al. | — | 2014 | → |
| Aberrantly expressed lncRNAs in primary varicose great saphenous veins. | Li X et al. | — | 2014 | → |
| A candidate gene approach for virally induced cancer with application to HIV-related Kaposi's sarcoma. | Aissani B et al. | — | 2014 | → |
| A comprehensive reference transcriptome resource for the common house spider Parasteatoda tepidariorum. | Posnien N et al. | — | 2014 | → |
| A gene expression and pre-mRNA splicing signature that marks the adenoma-adenocarcinoma progression in colorectal cancer. | Pesson M et al. | — | 2014 | → |
| A lack of parasitic reduction in the obligate parasitic green alga Helicosporidium. | Pombert JF et al. | — | 2014 | → |
| Analysis considerations for utilizing RNA-Seq to characterize the brain transcriptome. | Zheng CL et al. | — | 2014 | → |
| An integrated genomic and metabolomic framework for cell wall biology in rice. | Guo K et al. | — | 2014 | → |
| An online system for metabolic network analysis. | Cicek AE et al. | — | 2014 | → |
| A novel method for gathering and prioritizing disease candidate genes based on construction of a set of disease-related MeSH® terms. | Ono T et al. | — | 2014 | → |
| A transcriptome analysis suggests apoptosis-related signaling pathways in hemocytes of Spodoptera litura after parasitization by Microplitis bicoloratus. | Li M et al. | — | 2014 | → |
| A vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability. | De León H et al. | — | 2014 | → |
| Axonal guidance signaling pathway interacting with smoking in modifying the risk of pancreatic cancer: a gene- and pathway-based interaction analysis of GWAS data. | Tang H et al. | — | 2014 | → |
| Benznidazole biotransformation and multiple targets in Trypanosoma cruzi revealed by metabolomics. | Trochine A et al. | — | 2014 | → |
| Bioinformatic approaches reveal metagenomic characterization of soil microbial community. | Xu Z et al. | — | 2014 | → |
| Blood-gene expression reveals reduced circadian rhythmicity in individuals resistant to sleep deprivation. | Arnardottir ES et al. | — | 2014 | → |
| Challenges for an enzymatic reaction kinetics database. | Wittig U et al. | — | 2014 | → |
| Characterization of extracellular HSV-1 virions by proteomics. | Lippé R | — | 2014 | → |
| Clinical validation of an epigenetic assay to predict negative histopathological results in repeat prostate biopsies. | Partin AW et al. | — | 2014 | → |
| comoR: a software for disease comorbidity risk assessment. | Moni MA et al. | — | 2014 | → |
| Comparative genomics study for identification of drug and vaccine targets in Vibrio cholerae: MurA ligase as a case study. | Chawley P et al. | — | 2014 | → |
| Comparative transcriptome analysis of two oysters, Crassostrea gigas and Crassostrea hongkongensis provides insights into adaptation to hypo-osmotic conditions. | Zhao X et al. | — | 2014 | → |
| Construction and analysis of the protein-protein interaction networks based on gene expression profiles of Parkinson's disease. | Rakshit H et al. | — | 2014 | → |
| CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows. | Nersisyan L et al. | — | 2014 | → |
| Deciphering the glycogenome of schistosomes. | Mickum ML et al. | — | 2014 | → |
| Deciphering the proteomic signature of human endometrial receptivity. | Garrido-Gómez T et al. | — | 2014 | → |
| Dectin-1 pathway activates robust autophagy-dependent unconventional protein secretion in human macrophages. | Öhman T et al. | — | 2014 | → |
| Deducing intracellular distributions of metabolic pathways from genomic data. | Gruber A et al. | — | 2014 | → |
| Defining the human gallbladder proteome by transcriptomics and affinity proteomics. | Kampf C et al. | — | 2014 | → |
| De novo transcriptome sequencing and analysis of the cereal cyst nematode, Heterodera avenae. | Kumar M et al. | — | 2014 | → |
| Detection of genome-wide copy number variations in two chicken lines divergently selected for abdominal fat content. | Zhang H et al. | — | 2014 | → |
| Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning. | Liu M et al. | — | 2014 | → |
| Development of a minimal chemically defined medium for Ketogulonicigenium vulgare WSH001 based on its genome-scale metabolic model. | Fan S et al. | — | 2014 | → |
| Discrete mixture modeling to address genetic heterogeneity in time-to-event regression. | Eng KH et al. | — | 2014 | → |
| Docking applied to the prediction of the affinity of compounds to P-glycoprotein. | Palestro PH et al. | — | 2014 | → |
| Do plants contain g protein-coupled receptors? | Taddese B et al. | — | 2014 | → |
| Draft Genome Sequence of a Novel Streptomyces griseorubens Strain, JSD-1, Active in Carbon and Nitrogen Recycling. | Feng H et al. | — | 2014 | → |
| Effects of antibiotics on human microbiota and subsequent disease. | Keeney KM et al. | — | 2014 | → |
| Efficient enumeration of monocyclic chemical graphs with given path frequencies. | Suzuki M et al. | — | 2014 | → |
| Exact and heuristic methods for network completion for time-varying genetic networks. | Nakajima N et al. | — | 2014 | → |
| Expanding the computational toolbox for mining cancer genomes. | Ding L et al. | — | 2014 | → |
| Fibroblasts maintained in 3 dimensions show a better differentiation state and higher sensitivity to estrogens. | Montani C et al. | — | 2014 | → |
| Generation and Evaluation of a Genome-Scale Metabolic Network Model of Synechococcus elongatus PCC7942. | Triana J et al. | — | 2014 | → |
| Genes and signaling networks regulated during zebrafish optic vesicle morphogenesis. | Yin J et al. | — | 2014 | → |
| Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: a GWAS data analysis. | Tang H et al. | — | 2014 | → |
| Genome of the human hookworm Necator americanus. | Tang YT et al. | — | 2014 | → |
| Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease. | Mardinoglu A et al. | — | 2014 | → |
| Genome Sequence of the ε-Poly-l-Lysine-Producing Strain Streptomyces albulus NK660, Isolated from Soil in Gutian, Fujian Province, China. | Gu Y et al. | — | 2014 | → |
| Genome-wide Analysis of Mycoplasma hominis for the Identification of Putative Therapeutic Targets. | Parvege MM et al. | — | 2014 | → |
| Genome-wide association studies identify the loci for 5 exterior traits in a Large White × Minzhu pig population. | Wang L et al. | — | 2014 | → |
| Genome-wide detection of copy number variations among diverse horse breeds by array CGH. | Wang W et al. | — | 2014 | → |
| Genome-wide pathway analysis in neuroblastoma. | Lee YH et al. | — | 2014 | → |
| Genome-wide pathway analysis of breast cancer. | Lee YH et al. | — | 2014 | → |
| Genomic versatility and functional variation between two dominant heterotrophic symbionts of deep-sea Osedax worms. | Goffredi SK et al. | — | 2014 | → |
| Global proteome analysis identifies active immunoproteasome subunits in human platelets. | Klockenbusch C et al. | — | 2014 | → |
| Global transcriptome analysis and identification of the flowering regulatory genes expressed in leaves of Lagerstroemia indica. | Zhang Z et al. | — | 2014 | → |
| Global transcriptome analysis of Mesorhizobium alhagi CCNWXJ12-2 under salt stress. | Liu X et al. | — | 2014 | → |
| Gonadal transcriptome analysis of male and female olive flounder (Paralichthys olivaceus). | Fan Z et al. | — | 2014 | → |
| Historical contingency and the gradual evolution of metabolic properties in central carbon and genome-scale metabolisms. | Barve A et al. | — | 2014 | → |
| HoPaCI-DB: host-Pseudomonas and Coxiella interaction database. | Bleves S et al. | — | 2014 | → |
| Human transporter database: comprehensive knowledge and discovery tools in the human transporter genes. | Ye AY et al. | — | 2014 | → |
| Identifcation of differentially expressed long non-coding RNAs in CD4+ T cells response to latent tuberculosis infection. | Yi Z et al. | — | 2014 | → |
| Identification and characterization of the nitrate assimilation genes in the isolate of Streptomyces griseorubens JSD-1. | Feng H et al. | — | 2014 | → |
| Identification of alterations in the Jacobian of biochemical reaction networks from steady state covariance data at two conditions. | Kügler P et al. | — | 2014 | → |
| Identification of human disease genes from interactome network using graphlet interaction. | Wang XD et al. | — | 2014 | → |
| Identification of odorant-receptor interactions by global mapping of the human odorome. | Audouze K et al. | — | 2014 | → |
| Impacts of the Callipyge mutation on ovine plasma metabolites and muscle fibre type. | Li J et al. | — | 2014 | → |
| Insights into hepatopancreatic functions for nutrition metabolism and ovarian development in the crab Portunus trituberculatus: gene discovery in the comparative transcriptome of different hepatopancreas stages. | Wang W et al. | — | 2014 | → |
| Insights into the inhibition and mechanism of compounds against LPS-induced PGE2 production: a pathway network-based approach and molecular dynamics simulations. | Zhang X et al. | — | 2014 | → |
| Integrating systems biology sources illuminates drug action. | Gottlieb A et al. | — | 2014 | → |
| Integrative gene set analysis: application to platinum pharmacogenomics. | Fridley BL et al. | — | 2014 | → |
| Involvement of PG2212 zinc finger protein in the regulation of oxidative stress resistance in Porphyromonas gingivalis W83. | Dou Y et al. | — | 2014 | → |
| iPathCons and iPathDB: an improved insect pathway construction tool and the database. | Zhang Z et al. | — | 2014 | → |
| Landscape of the relationship between type 2 diabetes and coronary heart disease through an integrated gene network analysis. | Dong C et al. | — | 2014 | → |
| Large scale analysis of phenotype-pathway relationships based on GWAS results. | Brodie A et al. | — | 2014 | → |
| Linking biochemical pathways and networks to adverse drug reactions. | Zheng H et al. | — | 2014 | → |
| Metabolomics analysis identifies intestinal microbiota-derived biomarkers of colonization resistance in clindamycin-treated mice. | Jump RL et al. | — | 2014 | → |
| microPIR2: a comprehensive database for human-mouse comparative study of microRNA-promoter interactions. | Piriyapongsa J et al. | — | 2014 | → |
| MicroRNAs cooperatively inhibit a network of tumor suppressor genes to promote pancreatic tumor growth and progression. | Frampton AE et al. | — | 2014 | → |
| Modelling human protein interaction networks as metric spaces has potential in disease research and drug target discovery. | Fadhal E et al. | — | 2014 | → |
| Molecular evolution of the actin-like MreB protein gene family in wall-less bacteria. | Ku C et al. | — | 2014 | → |
| Molecular evolution of the substrate utilization strategies and putative virulence factors in mosquito-associated Spiroplasma species. | Chang TH et al. | — | 2014 | → |
| Molecular profiles of parvalbumin-immunoreactive neurons in the superior temporal cortex in schizophrenia. | Pietersen CY et al. | — | 2014 | → |
| Molecular profiles of pyramidal neurons in the superior temporal cortex in schizophrenia. | Pietersen CY et al. | — | 2014 | → |
| Myeloid cell RelA/p65 promotes lung cancer proliferation through Wnt/β-catenin signaling in murine and human tumor cells. | Li D et al. | — | 2014 | → |
| Network analyses reveal pervasive functional regulation between proteases in the human protease web. | Fortelny N et al. | — | 2014 | → |
| Network.assisted analysis to prioritize GWAS results: principles, methods and perspectives. | Jia P et al. | — | 2014 | → |
| Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. | Fakhraei S et al. | — | 2014 | → |
| Network completion for static gene expression data. | Nakajima N et al. | — | 2014 | → |
| Network thermodynamic curation of human and yeast genome-scale metabolic models. | Martínez VS et al. | — | 2014 | → |
| ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamics. | Hasenauer J et al. | — | 2014 | → |
| ProfileDB: a resource for proteomics and cross-omics biomarker discovery. | Bauer C et al. | — | 2014 | → |
| Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population. | Yu H et al. | — | 2014 | → |
| Proteome analysis of coinfection of epithelial cells with Filifactor alocis and Porphyromonas gingivalis shows modulation of pathogen and host regulatory pathways. | Aruni AW et al. | — | 2014 | → |
| Proteomic analysis on infantile spasm and prenatal stress. | Wang J et al. | — | 2014 | → |
| Putting The Plant Metabolic Network pathway databases to work: going offline to gain new capabilities. | Dreher K | — | 2014 | → |
| RASSF1A promotes apoptosis and suppresses the proliferation of ovarian cancer cells. | Fu L et al. | — | 2014 | → |
| RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals. | Huang KY et al. | — | 2014 | → |
| Research resources: comparative microRNA profiles in human corona radiata cells and cumulus oophorus cells detected by next-generation small RNA sequencing. | Tong XH et al. | — | 2014 | → |
| RNA-Seq analysis using de novo transcriptome assembly as a reference for the salmon louse Caligus rogercresseyi. | Gallardo-Escárate C et al. | — | 2014 | → |
| Salt-induced changes in cardiac phosphoproteome in a rat model of chronic renal failure. | Su Z et al. | — | 2014 | → |
| Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle. | Abo-Ismail MK et al. | — | 2014 | → |
| Stable isotope-labeling studies in metabolomics: new insights into structure and dynamics of metabolic networks. | Chokkathukalam A et al. | — | 2014 | → |
| Structural network analysis of biological networks for assessment of potential disease model organisms. | Nabhan AR et al. | — | 2014 | → |
| The cytochrome P450 epoxygenase pathway regulates the hepatic inflammatory response in fatty liver disease. | Schuck RN et al. | — | 2014 | → |
| The human liver-specific proteome defined by transcriptomics and antibody-based profiling. | Kampf C et al. | — | 2014 | → |
| The intestinal microbiome in early life: health and disease. | Arrieta MC et al. | — | 2014 | → |
| The pathway ontology - updates and applications. | Petri V et al. | — | 2014 | → |
| Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from <i>Oryza sativa</i> (rice) by using MS/MS and NMR analyses. | Yang Z et al. | — | 2014 | → |
| Transcriptome analysis of epithelioma papulosum cyprini cells after SVCV infection. | Yuan J et al. | — | 2014 | → |
| Transcriptome and tissue-specific expression analysis of Obp and Csp genes in the dark black chafer. | Ju Q et al. | — | 2014 | → |
| Transcriptome of the inflorescence meristems of the biofuel plant Jatropha curcas treated with cytokinin. | Pan BZ et al. | — | 2014 | → |
| Transcriptome profiling using pyrosequencing shows genes associated with bast fiber development in ramie (Boehmeria nivea L.). | Chen J et al. | — | 2014 | → |
| Transcriptomics assisted proteomic analysis of Nicotiana occidentalis infected by Candidatus Phytoplasma mali strain AT. | Luge T et al. | — | 2014 | → |
| Unbiased functional clustering of gene variants with a phenotypic-linkage network. | Honti F et al. | — | 2014 | → |
| VarWalker: personalized mutation network analysis of putative cancer genes from next-generation sequencing data. | Jia P et al. | — | 2014 | → |
| Virus proteins similar to human proteins as possible disturbance on human pathways. | Jin Z et al. | — | 2014 | → |
| Wnt pathway activation increases hypoxia tolerance during development. | Gersten M et al. | — | 2014 | → |
| A fourteen gene GBM prognostic signature identifies association of immune response pathway and mesenchymal subtype with high risk group. | Arimappamagan A et al. | — | 2013 | → |
| A genome-wide screen indicates correlation between differentiation and expression of metabolism related genes. | Roy P et al. | — | 2013 | → |
| A genome-wide siRNA screen identifies proteasome addiction as a vulnerability of basal-like triple-negative breast cancer cells. | Petrocca F et al. | — | 2013 | → |
| Agrigenomics for microalgal biofuel production: an overview of various bioinformatics resources and recent studies to link OMICS to bioenergy and bioeconomy. | Misra N et al. | — | 2013 | → |
| A latent capacity for evolutionary innovation through exaptation in metabolic systems. | Barve A et al. | — | 2013 | → |
| A multi-omic analysis of an Enterococcus faecium mutant reveals specific genetic mutations and dramatic changes in mRNA and protein expression. | Chang D et al. | — | 2013 | → |
| Analysis and prediction of pathways in HeLa cells by integrating biological levels of organization with systems-biology approaches. | Higareda-Almaraz JC et al. | — | 2013 | → |
| Analysis of nonlinear gene expression progression reveals extensive pathway and age-specific transitions in aging human brains. | Cao K et al. | — | 2013 | → |
| An Internal Standard-Assisted Synthesis and Degradation Proteomic Approach Reveals the Potential Linkage between VPS4B Depletion and Activation of Fatty Acid β-Oxidation in Breast Cancer Cells. | Liao Z et al. | — | 2013 | → |
| Antisense oligonucleotide suppression of human IGF-1R inhibits the growth and survival of in vitro cultured epithelial ovarian cancer cells. | Tang J et al. | — | 2013 | → |
| Application of 'omics technologies to biomarker discovery in inflammatory lung diseases. | Wheelock CE et al. | — | 2013 | → |
| A preliminary metagenomic study of puer tea during pile fermentation. | Lyu C et al. | — | 2013 | → |
| Assessing the human gut microbiota in metabolic diseases. | Karlsson F et al. | — | 2013 | → |
| Association of common single-nucleotide polymorphisms in innate immune genes with differences in TLR-induced cytokine production in neonates. | Cho P et al. | — | 2013 | → |
| A systematic comparison of the MetaCyc and KEGG pathway databases. | Altman T et al. | — | 2013 | → |
| A two-level model for the analysis of syndrome of acute ischemic stroke: from diagnostic model to molecular mechanism. | Dai W et al. | — | 2013 | → |
| Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles. | Dharuri H et al. | — | 2013 | → |
| BDgene: a genetic database for bipolar disorder and its overlap with schizophrenia and major depressive disorder. | Chang SH et al. | — | 2013 | → |
| Binding of nucleoid-associated protein fis to DNA is regulated by DNA breathing dynamics. | Nowak-Lovato K et al. | — | 2013 | → |
| Bivariate genome-wide association analysis of the growth and intake components of feed efficiency. | Serão NV et al. | — | 2013 | → |
| Chapter 15: disease gene prioritization. | Bromberg Y | — | 2013 | → |
| Characterization of a group of pyrroloquinoline quinone-dependent dehydrogenases that are involved in the conversion of L-sorbose to 2-Keto-L-gulonic acid in Ketogulonicigenium vulgare WSH-001. | Gao L et al. | — | 2013 | → |
| Characterization of the metabolic requirements in yeast meiosis. | Ray D et al. | — | 2013 | → |
| Circadian patterns of gene expression in the human brain and disruption in major depressive disorder. | Li JZ et al. | — | 2013 | → |
| CMS: a web-based system for visualization and analysis of genome-wide methylation data of human cancers. | Gu F et al. | — | 2013 | → |
| Combining phylogenetic profiling-based and machine learning-based techniques to predict functional related proteins. | Lin TW et al. | — | 2013 | → |
| Comparative analysis of the peanut witches'-broom phytoplasma genome reveals horizontal transfer of potential mobile units and effectors. | Chung WC et al. | — | 2013 | → |
| Complete Genome Sequence of Serratia marcescens WW4. | Chung WC et al. | — | 2013 | → |
| Complex disease interventions from a network model for type 2 diabetes. | Rende D et al. | — | 2013 | → |
| Comprehensive identification of mutational cancer driver genes across 12 tumor types. | Tamborero D et al. | — | 2013 | → |
| Computational drug repositioning through heterogeneous network clustering. | Wu C et al. | — | 2013 | → |
| Copy-number variation of cancer-gene orthologs is sufficient to induce cancer-like symptoms in Saccharomyces cerevisiae. | de Clare M et al. | — | 2013 | → |
| Coupling deep transcriptome analysis with untargeted metabolic profiling in Ophiorrhiza pumila to further the understanding of the biosynthesis of the anti-cancer alkaloid camptothecin and anthraquinones. | Yamazaki M et al. | — | 2013 | → |
| Current composite-feature classification methods do not outperform simple single-genes classifiers in breast cancer prognosis. | Staiger C et al. | — | 2013 | → |
| Defining the genomic signature of totipotency and pluripotency during early human development. | Galan A et al. | — | 2013 | → |
| De novo characterization of Japanese scallop Mizuhopecten yessoensis transcriptome and analysis of its gene expression following cadmium exposure. | Meng XL et al. | — | 2013 | → |
| Developmental gene discovery in a hemimetabolous insect: de novo assembly and annotation of a transcriptome for the cricket Gryllus bimaculatus. | Zeng V et al. | — | 2013 | → |
| Differential expression of long non-coding RNAs in bleomycin-induced lung fibrosis. | Cao G et al. | — | 2013 | → |
| Differential gene expression in HIV-infected individuals following ART. | Massanella M et al. | — | 2013 | → |
| Discovery of anthelmintic drug targets and drugs using chokepoints in nematode metabolic pathways. | Taylor CM et al. | — | 2013 | → |
| Distinct pools of non-glycolytic substrates differentiate brain regions and prime region-specific responses of mitochondria. | Lee DY et al. | — | 2013 | → |
| Draft Genome Sequence of a Benzothiophene-Desulfurizing Bacterium, Gordona terrae Strain C-6. | Wang W et al. | — | 2013 | → |
| Draft Genome Sequence of Streptomyces bottropensis ATCC 25435, a Bottromycin-Producing Actinomycete. | Zhang H et al. | — | 2013 | → |
| Draft Genome Sequences and Annotation of Enterococcus faecium Strain LCT-EF20. | Chang D et al. | — | 2013 | → |
| Exploring the transcription factor activity in high-throughput gene expression data using RLQ analysis. | Baty F et al. | — | 2013 | → |
| Functional diversity and structural disorder in the human ubiquitination pathway. | Bhowmick P et al. | — | 2013 | → |
| Fusion of large-scale genomic knowledge and frequency data computationally prioritizes variants in epilepsy. | Campbell IM et al. | — | 2013 | → |
| Gene transfer from bacteria and archaea facilitated evolution of an extremophilic eukaryote. | Schönknecht G et al. | — | 2013 | → |
| Genome-scale modeling of human metabolism - a systems biology approach. | Mardinoglu A et al. | — | 2013 | → |
| Genome-wide copy number variations inferred from SNP genotyping arrays using a Large White and Minzhu intercross population. | Wang L et al. | — | 2013 | → |
| Genome-wide detection of copy number variations using high-density SNP genotyping platforms in Holsteins. | Jiang L et al. | — | 2013 | → |
| Genome-wide pathway analysis in major depressive disorder. | Song GG et al. | — | 2013 | → |
| Genomically and biochemically accurate metabolic reconstruction of Methanosarcina barkeri Fusaro, iMG746. | Gonnerman MC et al. | — | 2013 | → |
| Genomic and enzymatic results show Bacillus cellulosilyticus uses a novel set of LPXTA carbohydrases to hydrolyze polysaccharides. | Mead D et al. | — | 2013 | → |
| Genomic and secretomic analyses reveal unique features of the lignocellulolytic enzyme system of Penicillium decumbens. | Liu G et al. | — | 2013 | → |
| Genomic signatures of pregnancy-associated breast cancer epithelia and stroma and their regulation by estrogens and progesterone. | Harvell DM et al. | — | 2013 | → |
| Graphite Web: Web tool for gene set analysis exploiting pathway topology. | Sales G et al. | — | 2013 | → |
| Heterogeneity of tumor-induced gene expression changes in the human metabolic network. | Hu J et al. | — | 2013 | → |
| HExpoChem: a systems biology resource to explore human exposure to chemicals. | Taboureau O et al. | — | 2013 | → |
| HMPAS: Human Membrane Protein Analysis System. | Kim MS et al. | — | 2013 | → |
| HSC-explorer: a curated database for hematopoietic stem cells. | Montrone C et al. | — | 2013 | → |
| Identification and characterization of a repertoire of genes differentially expressed in developing top ear shoots between a superior hybrid and its parental inbreds in Zea mays L. | Qin J et al. | — | 2013 | → |
| Identification and characterization of cancer mutations in Japanese lung adenocarcinoma without sequencing of normal tissue counterparts. | Suzuki A et al. | — | 2013 | → |
| Identification and characterization of potential therapeutic candidates in emerging human pathogen Mycobacterium abscessus: a novel hierarchical in silico approach. | Shanmugham B et al. | — | 2013 | → |
| Identification of gene microarray expression profiles in patients with chronic graft-versus-host disease following allogeneic hematopoietic cell transplantation. | Kohrt HE et al. | — | 2013 | → |
| Identification of novel microRNA regulatory pathways associated with heterogeneous prostate cancer. | Tang Y et al. | — | 2013 | → |
| Identification of SHRUBBY, a SHORT-ROOT and SCARECROW interacting protein that controls root growth and radial patterning. | Koizumi K et al. | — | 2013 | → |
| Incorporating prior knowledge into Gene Network Study. | Wang Z et al. | — | 2013 | → |
| Increased CNV-region deletions in mild cognitive impairment (MCI) and Alzheimer's disease (AD) subjects in the ADNI sample. | Guffanti G et al. | — | 2013 | → |
| Inferring developmental stage composition from gene expression in human malaria. | Joice R et al. | — | 2013 | → |
| Informatics confronts drug-drug interactions. | Percha B et al. | — | 2013 | → |
| Insights into the immuno-molecular biology of Angiostrongylus vasorum through transcriptomics--prospects for new interventions. | Ansell BR et al. | — | 2013 | → |
| Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's disease. | Carbonetto P et al. | — | 2013 | → |
| Integrated LC-MS/MS system for plant metabolomics. | Sawada Y et al. | — | 2013 | → |
| Integrating genomic, epigenomic, and transcriptomic features reveals modular signatures underlying poor prognosis in ovarian cancer. | Zhang W et al. | — | 2013 | → |
| Integration of metabolic and gene regulatory networks modulates the C. elegans dietary response. | Watson E et al. | — | 2013 | → |
| Interpretation of genomic variants using a unified biological network approach. | Khurana E et al. | — | 2013 | → |
| In vitro maturation of oocytes alters gene expression and signaling pathways in bovine cumulus cells. | Salhab M et al. | — | 2013 | → |
| Involvement of and interaction between WNT10A and EDA mutations in tooth agenesis cases in the Chinese population. | He H et al. | — | 2013 | → |
| IQdb: an intelligence quotient score-associated gene resource for human intelligence. | Kong L et al. | — | 2013 | → |
| KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics. | Kotera M et al. | — | 2013 | → |
| Link clustering reveals structural characteristics and biological contexts in signed molecular networks. | Lin CC et al. | — | 2013 | → |
| Metabolic proximity in the order of colonization of a microbial community. | Mazumdar V et al. | — | 2013 | → |
| Metabolomic Dynamic Analysis of Hypoxia in MDA-MB-231 and the Comparison with Inferred Metabolites from Transcriptomics Data. | Tsai IL et al. | — | 2013 | → |
| Microarray analysis of microRNA expression in peripheral blood mononuclear cells of critically ill patients with influenza A (H1N1). | Song H et al. | — | 2013 | → |
| MicroRNA and piRNA profiles in normal human testis detected by next generation sequencing. | Yang Q et al. | — | 2013 | → |
| miRNA expression profiling in a human stem cell-based model as a tool for developmental neurotoxicity testing. | Pallocca G et al. | — | 2013 | → |
| mirTools 2.0 for non-coding RNA discovery, profiling, and functional annotation based on high-throughput sequencing. | Wu J et al. | — | 2013 | → |
| Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data. | Stavrum AK et al. | — | 2013 | → |
| Network analysis of microRNAs, genes and their regulation in human bladder cancer. | Li Y et al. | — | 2013 | → |
| Network-based approaches in drug discovery and early development. | Harrold JM et al. | — | 2013 | → |
| NetworkTrail--a web service for identifying and visualizing deregulated subnetworks. | Stöckel D et al. | — | 2013 | → |
| Next-generation biobanking of metastases to enable multidimensional molecular profiling in personalized medicine. | Diaz Z et al. | — | 2013 | → |
| Next-generation sequencing-based transcriptome profiling analysis of Pohlia nutans reveals insight into the stress-relevant genes in Antarctic moss. | Liu S et al. | — | 2013 | → |
| Pathprinting: An integrative approach to understand the functional basis of disease. | Altschuler GM et al. | — | 2013 | → |
| Pathway analysis of a genome-wide association study in schizophrenia. | Lee YH et al. | — | 2013 | → |
| Pathway-based drug repositioning using causal inference. | Li J et al. | — | 2013 | → |
| Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula. | Dai W et al. | — | 2013 | → |
| Peregrine and saker falcon genome sequences provide insights into evolution of a predatory lifestyle. | Zhan X et al. | — | 2013 | → |
| Pharmacological potential of biogenic amine-polyamine interactions beyond neurotransmission. | Sánchez-Jiménez F et al. | — | 2013 | → |
| PKC signaling prevents irradiation-induced apoptosis of primary human fibroblasts. | Bluwstein A et al. | — | 2013 | → |
| Platelet aggregation pathway network-based approach for evaluating compounds efficacy. | Gu J et al. | — | 2013 | → |
| Polymorphisms in metabolism/antioxidant genes may mediate the effect of dietary intake on pancreatic cancer risk. | Jansen RJ et al. | — | 2013 | → |
| Predicting drug-target interactions using drug-drug interactions. | Kim S et al. | — | 2013 | → |
| Prediction of effective drug combinations by chemical interaction, protein interaction and target enrichment of KEGG pathways. | Chen L et al. | — | 2013 | → |
| Predictions of enzymatic parameters: a mini-review with focus on enzymes for biofuel. | Yan S et al. | — | 2013 | → |
| Proteomic analysis of elite soybean Jidou17 and its parents using iTRAQ-based quantitative approaches. | Qin J et al. | — | 2013 | → |
| Proteomic signatures of acquired letrozole resistance in breast cancer: suppressed estrogen signaling and increased cell motility and invasiveness. | Tilghman SL et al. | — | 2013 | → |
| Protooncogene TCL1b functions as an Akt kinase co-activator that exhibits oncogenic potency in vivo. | Hashimoto M et al. | — | 2013 | → |
| Putative drug and vaccine target protein identification using comparative genomic analysis of KEGG annotated metabolic pathways of Mycoplasma hyopneumoniae. | Damte D et al. | — | 2013 | → |
| Reconstruction and analysis of the industrial strain Bacillus megaterium WSH002 genome-scale in silico metabolic model. | Zou W et al. | — | 2013 | → |
| Relationship between gene responses and symptoms induced by Rice grassy stunt virus. | Satoh K et al. | — | 2013 | → |
| Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data. | Catlett NL et al. | — | 2013 | → |
| Sleep is not just for the brain: transcriptional responses to sleep in peripheral tissues. | Anafi RC et al. | — | 2013 | → |
| Sorafenib inhibits epithelial-mesenchymal transition through an epigenetic-based mechanism in human lung epithelial cells. | Zhang J et al. | — | 2013 | → |
| Sost and its paralog Sostdc1 coordinate digit number in a Gli3-dependent manner. | Collette NM et al. | — | 2013 | → |
| Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq data. | Eksi R et al. | — | 2013 | → |
| Systems-based understanding of pharmacological responses with combinations of multidisciplinary methodologies. | Kariya Y et al. | — | 2013 | → |
| Systems biology approach to the dissection of the complexity of regulatory networks in the S. scrofa cardiocirculatory system. | Martini P et al. | — | 2013 | → |
| Systems pharmacology uncovers Janus functions of botanical drugs: activation of host defense system and inhibition of influenza virus replication. | Wang X et al. | — | 2013 | → |
| T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus. | Yang Z et al. | — | 2013 | → |
| The 3rd DBCLS BioHackathon: improving life science data integration with Semantic Web technologies. | Katayama T et al. | — | 2013 | → |
| The evolutionary rate of antibacterial drug targets. | Gladki A et al. | — | 2013 | → |
| Transcriptome analysis reveals unique C4-like photosynthesis and oil body formation in an arachidonic acid-rich microalga Myrmecia incisa Reisigl H4301. | Ouyang LL et al. | — | 2013 | → |
| Transcriptome and proteome quantification of a tumor model provides novel insights into post-transcriptional gene regulation. | Jüschke C et al. | — | 2013 | → |
| Transcriptome sequencing and de novo analysis of a cytoplasmic male sterile line and its near-isogenic restorer line in chili pepper (Capsicum annuum L.). | Liu C et al. | — | 2013 | → |
| Transcriptome sequencing and de novo analysis of the copepod Calanus sinicus using 454 GS FLX. | Ning J et al. | — | 2013 | → |
| Transcriptome-wide single nucleotide polymorphisms (SNPs) for abalone (Haliotis midae): validation and application using GoldenGate medium-throughput genotyping assays. | Bester-Van Der Merwe A et al. | — | 2013 | → |
| Widespread aggregation and neurodegenerative diseases are associated with supersaturated proteins. | Ciryam P et al. | — | 2013 | → |