Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

GenoMycAnalyzer: a web-based tool for species and drug resistance prediction for Mycobacterium genomes

20 Apr 2024

Abstract excerpt

BACKGROUND: Drug-resistant tuberculosis (TB) is a major threat to global public health. Whole-genome sequencing (WGS) is a useful tool for species identification and drug resistance prediction, and many clinical laboratories are transitioning to WGS as a routine diagnostic tool. However, user-friendly and high-confidence automated bioinformatics tools are needed to rapidly identify M. tuberculosis complex (MTBC)...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Diagnosis and treatment of tuberculosis
Share to Mycobacterium research and diagnosis
Share to Tuberculosis Research and Epidemiology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38643090
DOI: 10.1186/s12864-024-10320-3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

GenoMycAnalyzer: a web-based tool for species and drug resistance prediction for Mycobacterium genomesPMID 38643090Read ↗

SAM-TB: a whole genome sequencing data analysis website for detection of <i>Mycobacterium tuberculosis</i> drug resistance and transmissionSemantic proximity Read ↗

TB-Genaly: A multicenter evaluated whole genome sequencing pipeline for tuberculosis drug resistance assessment and transmission analysis.Semantic proximity Read ↗

GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learningSemantic proximity Read ↗

Evaluating the efficacy of whole genome sequencing in predicting susceptibility profiles for first-line antituberculosis drugs.Semantic proximity Read ↗

GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learningSemantic proximity Read ↗

Whole genome sequencing for tuberculosis disease species identification, lineage determination, and drug resistance detection in Kashgar prefecture, ChinaSemantic proximity Read ↗

NTM-DB: A Comprehensive Non-Tuberculosis Mycobacteria Genomic DatabaseSemantic proximity Read ↗

Evaluation of WHO catalog of mutations and five WGS analysis tools for drug resistance prediction of Mycobacterium tuberculosis isolates from China.Semantic proximity Read ↗

Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing.Semantic proximity Read ↗

A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics.Semantic proximity Read ↗

Evaluation of AAICare®-TB sequence analysis tool for accurate diagnosis of drug-resistant tuberculosis: A comparative study with TB-Profiler and Mykrobe.Semantic proximity Read ↗

PhyResSE: a Web Tool Delineating Mycobacterium tuberculosis Antibiotic Resistance and Lineage from Whole-Genome Sequencing DataSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.