Bioinformatics

A recipe for extremely reproducible enrichment analysis (and why we need it)

Unreliable and irreproducible research is a significant problem that wastes resources and risks undermining the public perception of science. Previous work has highlighted that published enrichment analyses frequently suffer from statistical and …

ePlatypus: an ecosystem for computational analysis of immunogenomics data

Motivation The maturation of systems immunology methodologies requires novel and transparent computational frameworks capable of integrating diverse data modalities in a reproducible manner. Results Here, we present the ePlatypus computational …