DESeq2 is an R package used for differential gene expression analysis, particularly for RNA-Seq data. It uses a negative binomial generalized linear model to assess differential expression between two or more groups of samples, taking into account library size, dispersion estimation, and fold change estimation. It's commonly used to identify genes that are significantly up- or down-regulated under different experimental conditions.
This tech insight summary was produced by Sumble. We provide rich account intelligence data.
On our web app, we make a lot of our data available for browsing at no cost.
We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.