Input Mycobacterium tuberculosis data for Resistance Deep Learning Model
Year: 2019
Type: dataset
Abstract: Mycobacterium tuberculosis genetic mutation data obtained via either targeted sequencing or whole genome sequencing using Illumina. Illumina raw reads were processed with Stampy and Platypus based pipeline for variant calling. Targeted sequence data (and related phenotype data see below) was previously published within Dataverse under: https://doi.org/10.7910/DVN/AQ5LH5 and https://doi.org/10.7910/DVN/GYHIB2 Mutations found have a status of 1, assuming >40% purity and meeting Platypus Pass criteria. Mutations not found not listed. Mutations missing have a status of NA. Also included is a separate file with the same ids linking the genotypic data above with in vitro culture based drug susceptibility testing for 10 drugs. Further description of the data and methods is available here: https://doi.org/10.1101/275628
Source: Harvard Dataverse
DOI: 10.7910/dvn/oinf7w
Author: Farhat, Maha
Institution: Massachusetts General Hospital
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4398610749