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Chunk #52 — Results — Analysis of SEQC RNA-seq dataset

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variancePartition: interpreting drivers of variation in complex gene expression studies.
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Analysis and visualization with variancePartition succinctly illustrates that while variation across laboratories and library constructions is not negligible, it is small compared with the magnitude of biological variation for the large majority of genes. Moreover, variation across flowcells and lanes is very small in this dataset. Thus variancePartition illustrates that RNA-seq data is highly reproducible genome-wide with a small subset of genes showing large technical artifacts.