Gibraan Rahman

This paper integrates microbiomic and metabolomic data to identify microbial and metabolic drivers of CNS autoimmunity in a mouse model of MS.

RNAquarium integrates zebrafish and metatranscriptomic data to identify viral drivers of transcriptomic states and support foundation-model training.

The paper introduces MOPP, a pipeline for processing metaRibo-Seq data to improve taxonomic and functional analysis by reducing false positives through coverage breadth filtering.

BIRDMAn is a Bayesian framework for differential abundance analysis in microbiome studies, showing improved statistical power and detecting antibiotic effects and cancer classifiers.

Evident calculates effect sizes and performs power analysis for microbiome community differences, scaling to large datasets with many metadata covariates.

EMPress provides an interactive tool for visualizing phylogenetic trees alongside multi-omic data, enabling exploratory analyses of microbiome and metabolome datasets.

The paper introduces Qurro, a tool for interactively visualizing feature rankings and log-ratios in compositional omics data to improve exploratory analysis.