iValiD-TB: A fully characterized Mycobacterium tuberculosis dataset for antimicrobial resistance bioinformatics workflow validations

For clinical assay validations, well-characterized samples are essential for assessing methodology sensitivity and specificity. To support the community in the development of clinical next-generation sequencing assays for Mycobacterium tuberculosis, we released a comprehensive dataset of 50 whole genome sequences from characterized strains, complete with drug susceptibility and mutation profiles., , , # iValiD-TB: A fully characterized Mycobacterium tuberculosis dataset for antimicrobial resistance bioinformatics workflow validations

[https://doi.org/10.5061/dryad.4j0zpc8m8](https://doi.org/10.5061/dryad.4j0zpc8m8)

We have assembled a comprehensive dataset of 50 well-characterized whole genome sequences (WGS) from *Mycobacterium tuberculosis* strains to aid in the development of clinical assays for this pathogen. This dataset includes complete whole genome sequences paired-end read sets obtained through Illumina MiSeq sequencing, along with detailed profiles of drug susceptibility patterns and mutations known to be associated with antimicrobial resistance (AR) to nine MTB drugs. This dataset has been curated to be inclusive of a broad range of lineage diversity, drug susceptibility profiles, and mutation types. The sequence reads dataset has been made available at the NCBI Read Archive under Bioproject PRJNA980174.

## Description of the data and file structure

The metadata, resis...,