How is it different from DESeq2?

DESeq2: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302049/

- A method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. - Ideal for data sets with a small sample size due to compound comparisons within samples. - Data read as (Samples) vs. (Gene), or rather a matrix with reads mapped to gene in a specific sample - Mostly used for RNA seq, but also some other methods (HTS assays), such as chromatin immunoprecipitation sequencing, chromosome conformation capture, or counting observed taxa in metagenomic studies. - Improved version of DESeq (1).