In this episode, Michael Love joins us to talk about the differential gene expression analysis from bulk RNA-Seq data.
We talk about the history of Mike’s own differential expression package, DESeq2, as well as other packages in this space, like edgeR and limma, and the theory they are based upon. Mike also shares his experience of being the author and maintainer of a popular bioninformatics package.
Links:
And a more comprehensive set of links from Mike himself:
limma, the original paper and limma-voom:
https://pubmed.ncbi.nlm.nih.gov/16646809/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053721/
edgeR papers:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796818/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378882/
The recent manuscript mentioned from the Kendziorski lab, which has a Gamma-Poisson hierarchical structure, although it does not in general reduce to the Negative Binomial:
https://doi.org/10.1101/2020.10.28.359901
We talk about robust steps for estimating the middle of the dispersion prior distribution, references are Anders and Huber 2010 (DESeq), Eling et al 2018 (one of the BASiCS papers), and Phipson et al 2016:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218662/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167088/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373812/
The Stan software:
https://mc-stan.org/
We talk about using publicly available data as a prior, references I mention are the McCall et al paper using publicly available data to ask if a gene is expressed, and a new manuscript from my lab that compares splicing in a sample to GTEx as a reference panel:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013751/ https://doi.org/10.1101/856401
Regarding estimating the width of the dispersion prior, references are the Robinson and Smyth 2007 paper, McCarthy et al 2012 (edgeR), and Wu et al 2013 (DSS):
https://pubmed.ncbi.nlm.nih.gov/17881408/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378882/
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