Sanjana G. Kulkarni

Benchmarking within-sample minority variant detection with short-read sequencing in M. tuberculosis

This study benchmarks seven variant callers for detecting low-frequency variants in M. tuberculosis using simulated short-read data, finding FreeBayes performs best and introducing an error model to filter false positives.

BIG-TB: A benchmark for evaluating prediction and interpretability of sequence-based machine learning using *Mycobacterium tuberculosis* genomes

BIG-TB evaluates sequence-based machine learning models for predicting antibiotic resistance and variant attribution using *Mycobacterium tuberculosis* genomes, showing DNA-based models outperform protein-based ones.