Michael Strong

The paper evaluates short-read variant calling accuracy in Mycobacterium tuberculosis using Illumina and PacBio data, finding high precision with optimized mapping thresholds and identifying 68% of excluded repetitive regions as accurately called.

The paper describes a standardized RNA-Seq pipeline for spaceflight data, enabling reproducible analysis of gene expression changes in astronauts and organisms exposed to spaceflight.

This paper introduces a composite method for drug resistance prediction using mixed genomic data, showing improved performance on small sample sizes and mixed attribute types.

The paper analyzes M. tuberculosis population dynamics during treatment failure using whole-genome sequencing data from clinical isolates to identify resistance mutations and in-host evolutionary patterns.