Indra Neil Sarkar

The paper introduces a synteny-based similarity measure for bacterial genomes, improving clustering quality over existing methods while preserving high-similarity relationships.

This study uses microbiome data to show that diet and domestication shape microbial composition across species, with herbivores, domesticated species, and humans showing distinct patterns.

LYRUS predicts the pathogenicity of missense variants using sequence, structure, and dynamics-based features, achieving higher accuracy than existing methods.

The paper evaluates how PMSA-based computational tools predict pathogenicity of APC missense variants, finding wide variation in predictions and highlighting challenges in alignment-based methods.