Sagun Maharjan

BAQLaVa improves viral profiling from metagenomes and metatranscriptomes, revealing reduced virome diversity in inflammatory bowel diseases and novel phage-host relationships.

MaAsLin 3 fits hurdle models separating microbial prevalence (augmented logistic) and abundance (median-adjusted log-linear) associations, improving precision over existing differential abundance tools and showing 77% of IBD associations are prevalence-driven.

The paper presents a method to discover new human gut viruses using enriched virome samples and reports over 162,000 novel viral sequences.

The paper introduces a statistical model to simulate microbial community profiles and evaluates its performance in benchmarking analysis methods.