Tutorials

RNA-seq

  1. fastq to counts: Sequence quality filtering, alignment, and counts with SEAsnake: Software to our run pipeline
  2. Counts to voom: Count quality filtering and normalization with edgeR and limma
  3. Voom to DEG: Linear modeling to determine differentially expressed genes (DEG) with kimma
  4. RNAseq modules: Gene co-expression modules with WGCNA
  5. Gene set analysis: Including hypergeometric enrichment, enrichr, gene set enrichment analysis (GSEA), and STRING networks

AWS

  1. AWS account setup
  2. Conda installation
  3. R installation

GitHub

  1. Contributing to R packages on GitHub