Analysis of RNA-Seq using the DESeq2 package

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data.
Bioconductor uses the R statistical programming language, and is open source and open development.
It has two releases each year, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.

Scientific topics: RNA-Seq

Authors: Michael Love

External resources:
Analysis of RNA-Seq using the DESeq2 package https://tess.elixir-europe.org/materials/analysis-of-rna-seq-using-the-deseq2-package Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq