Here are download links for software and data resources we were involved in developing.
Software
- BBERT – Fast and accurate taxonomic domain assignment of short metagenomic reads, also inferring whether the read is coding or not and for coding reads, their reading frame.
- CompoRes – an algorithmic package designed to analyze the connection between changes in the host’s microbiota and the host’s gene expression. It addresses two significant analysis challenges: compositional statistics in the microbiota, and multiple hypothesis testing which results in false correlations between microbiota and host.
- CorrEnrich – (Correlation Enrichment) is a Python toolkit for identifying and evaluating biologically meaningful gene clusters by analyzing their expression tightness, functional enrichment (via GO terms), and statistical significance under various experimental conditions.
- Companion Jupyter python notebooks demonstrating key model simulations, bundled with the manuscript “Mathematical modeling and intuition in microbiology: a perspective”.
- Code and data for the manuscript “Grow now, pay later: when should a bacterium go into debt?“. Also in Zenodo.
Data
- Data analysis related to the manuscript: Antibiotics damage the colonic mucus barrier in a microbiota-independent manner. Also in Zenodo.
- Code and data for the manuscript “Quantifying the dynamics of hematopoiesis by in vivo IdU pulse-chase, mass cytometry and mathematical modeling”. Raw fcs files here. Analyses and MATLAB and “raw” MATLAB code here.