Python

bgcLens is a tool to profile microbial biosynthetic gene clusters from metagenomics data; it is designed to provided maximum utility to the user by incorporating a number of analysis modules for the quantification of not only bacterial strains but also gene families and biosynthetic gene clusters. seqSight also incorporates quality control modules and visualization tools.

btest combines block nonparametric hypothesis testing with false discovery rate correction to enable high-sensitivity discovery of linear and non-linear associations in high-dimensional datasets (which may be categorical, continuous, or mixed).

create summary figures of PUBMED trends

Gaussian Processes (GP)-based tool to characterize temporal dynamics of longitudinal omics and clinical data