Lavanya Rishishwar

el_gato is a new bioinformatic tool that improves sequence-based typing of Legionella pneumophila from whole genome sequencing data, achieving high accuracy comparable to traditional Sanger sequencing.

Rye infers genetic ancestry at biobank scale with high accuracy and 50x faster runtime than ADMIXTURE on UK Biobank data.

STing provides an accurate and ultrafast genomic profiling tool for microbial pathogens using exact sequence matches, outperforming existing methods in speed, accuracy, and ease of use.

The paper identifies admixture-enabled selection in Latin American populations, finding evidence of African ancestry enrichment at immune-related loci and polygenic selection for traits related to immunity and inflammation.

The paper analyzes Native American ancestry in three US populations, revealing distinct patterns linked to historical migration and settlement.

The paper identifies phenotypic cues and genetic architecture underlying ancestry-based assortative mating in admixed Latin American populations using genome-wide haplotype analysis.

The paper develops a bioinformatic tool to identify new T6SS gene clusters in V. cholerae and demonstrates the function of a newly discovered effector protein.