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Chunk #57 — Methods — Analysis of publicly available datasets — Single-cell RNA-seq data of ulcerative colitis in human donors

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scCODA is a Bayesian model for compositional single-cell data analysis.
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We used the annotated single-cell RNA-seq data of the colon epithelium from 12 healthy donors and 18 patients with chronic inflammation1. From healthy donors, samples from two adjacent locations were taken. From patients, biopsies from inflamed and adjacent normal tissue (“non-inflamed”) were taken. Further, the biopsies were separated by enzymatic digestion into the epithelium (“Epi”) and the lamina propria (“LP”) before single-cell RNA-sequencing. The study comprises a total of 365,492 transcriptomes from 133 samples. The data were downloaded from Single Cell Portal (accession ID SCP259). The analysis code and description were provided at https://github.com/cssmillie/ulcerative_colitis.