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Next Steps

At this point, you should have everything you need to perform downstream analysis using your favorite software packages.

If you are unsure where to start, please consider contacting one of our statisticians for data analysis support.

If you would like to perform the analysis yourself or learn more about it, we have compiled a list of helpful resources below.

Anything unclear or buggy in this tutorial? Please report it!

Resources​

  • Analyzing RNA-seq data with DESeq2 (highly recommended)
  • Differential analysis of sequence read count data using edgeR
  • Linear Models for Microarray and RNA-Seq Data using LIMMA
  • Detection of m6A from direct RNA-Seq data using m6Anet
  • Identification and quantification of differential RNA modifications using xPore
  • Teaching materials at the Harvard Chan Bioinformatics Core