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A repository for setting up a RNAseq workflow
RNA-Sequencing data differential expression analysis pipeline. Performs: genome coverage (via bedtools and HTSeq), generates Circos code and plots, differential expression (via DESeq and NOISeq), s…
RNAseq analysis notes from Ming Tang
A guide for analyzing single-cell RNA-seq data using the R package Seurat. Go from raw data to cell clustering, identifying cell types, custom visualizations, and group-wise analysis of tumor infil…
A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.
The repository contains case studies contributed from companies and individuals, who are implementing a risk-based approach to validate R packages. Disclaimer: This are public content and not part …