The proper use of spike-in normalization in ChIP-seq improves sensitivity for detecting genome-wide changes between conditions, but improper use is common, calling some biological conclusions into ...

Genome-scale metabolic models (GEMs) cover the entire list of metabolic genes in an organism and associated reactions, in a tissue/condition non-specific manner. RNA-seq provides crucial information ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...