Teaching

Computational Biology Course (St. Jude Graduate School)

Lecture 4: Tools for RNA-seq analysis and interpretation

Script for basic DESeq2 analysis: http://geeleherlab.org/teachingFiles/dEseq2Test.R

Script for creating usable breast cancer expression dataset from files downloaded from GDC: http://geeleherlab.org/teachingFiles/loadBrcaData.R

RNA-seq count data and TPM expression estimates for the above script: http://geeleherlab.org/teachingFiles/brcaHer2.RData

Expression data for GSEA: http://geeleherlab.org/teachingFiles/her2Expr.gct

Phenotype data for GSEA: http://geeleherlab.org/teachingFiles/her2Labels.cls

Gene symbols “.chip” file for GSEA: http://geeleherlab.org/teachingFiles/GENE_SYMBOL.chip

Gene set database file for GSEA: http://geeleherlab.org/teachingFiles/c5.bp.v7.1.symbols.gmt