Iñaki Comas

The paper uses long-read assemblies and proteogenomic analysis to discover novel small proteins in Mycobacterium tuberculosis strains.

The paper uses long-read sequencing to generate complete genomes of Mycobacterium tuberculosis complex isolates, revealing increased genomic diversity and improved resolution in transmission analysis.

The paper characterizes repeat-associated mutations in Mycobacterium tuberculosis genomes using long-read sequencing, revealing their significant contribution to genetic variation in an outbreak.

This study investigates selamectin resistance in Mycobacterium smegmatis and finds that resistance requires specific mutations and intact cell envelope integrity.

This study shows that culturing Mycobacterium tuberculosis from sputum samples accurately mirrors the genetic diversity found in the original clinical samples, with high variant agreement and correlation.

VIPERA analyzes intra-patient SARS-CoV-2 sequence evolution to track viral ancestry and trajectories.

This study presents the genome of M. brumae and shows its nonpathogenic and immunogenic traits through genomic analysis.

The paper investigates the structural and functional impact of the S:A222V mutation in SARS-CoV-2, showing increased RBD opening and ACE2 binding without reducing neutralization capacity.

The paper uses whole-genome sequencing to analyze Mycobacterium tuberculosis population structure and transmission patterns in Mozambique, finding recent transmission and endemic clades linked to HIV/TB coinfected patients.

The paper analyzes whole genome sequences of Mycobacterium tuberculosis lineages L1 and L3 to show South Asia's role in their dispersion and identify local adaptation at the esxH locus.

The paper identifies novel candidate genes for isoniazid resistance in Mycobacterium tuberculosis using evolutionary functional genomics and phylogenetic analysis of clinical strain genomes.

GenomegaMap estimates genome-wide dN/dS ratios across 10,209 tuberculosis genomes to identify selection pressures shaping the pathogen's evolution.

The paper evaluates the impact of contaminant DNA in whole-genome sequencing and shows it introduces false genetic variability, proposing contamination-aware analysis pipelines.

The paper shows that gene expression models based on the H37Rv strain poorly predict transcriptional diversity in Mycobacterium tuberculosis complex strains.