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

Evaluating 12 automated, whole-genome sequencing analysis pipelines for Mycobacterium tuberculosis complex: a comparative study.

The Lancet. Microbe - 1 Dec 2025

Spies Ruan, Crook Derrick W, Peto Timothy E A, Fowler Philip W, Turner Robert, Thai Hieu, Watson James A, Walker Timothy M

Abstract excerpt

BACKGROUND: Reliance on complex, custom-built bioinformatics pipelines is a barrier to the implementation of whole-genome sequencing (WGS) of Mycobacterium tuberculosis in high-burden settings in some low-income and middle-income countries (LMICs). Automated analysis pipelines could address this inequity in access to WGS-based diagnostics and surveillance. This study aimed to systematically evaluate the...

Read the complete abstract on PubMed

Topics

Mycobacterium tuberculosis
Whole Genome Sequencing
Humans
Genome, Bacterial
Antitubercular Agents
Microbial Sensitivity Tests

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Computational Biology

Genotype

Tuberculosis

Sensitivity and Specificity

Source

Identifiers

PMID: 41130253
DOI: 10.1016/j.lanmic.2025.101210

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 21 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Evaluating 12 automated, whole-genome sequencing analysis pipelines for Mycobacterium tuberculosis complex: a comparative study.PMID 41130253Read ↗

Automated bioinformatic pipeline for unbiased detection of tuberculosis transmission clusters: Real-time impact and retrospective insightsSemantic proximity Read ↗

A Bioinformatics Whole-Genome Sequencing Workflow for Clinical Mycobacterium tuberculosis Complex Isolate Analysis, Validated Using a Reference Collection Extensively Characterized with Conventional Methods and In Silico Approaches.Semantic proximity Read ↗

Rapid, comprehensive, and affordable mycobacterial diagnosis with whole-genome sequencing: a prospective study.Semantic proximity Read ↗

The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis AnalysisSemantic proximity Read ↗

Bringing TB genomics to the clinic: A comprehensive pipeline to predict antimicrobial susceptibility from genomic data, validated and accredited to ISO standardsSemantic proximity Read ↗

The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis.Semantic proximity Read ↗

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

Use of Whole Genome Sequencing for Mycobacterium tuberculosis Complex Antimicrobial Susceptibility Testing: From Sequence Data to Resistance Profiles.Semantic proximity Read ↗

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

The MAGMA pipeline for comprehensive genomic analyses of clinical Mycobacterium tuberculosis samplesSemantic proximity Read ↗

Reimagining Tuberculosis Control in the Era of Genomics: The Case for Global Investment in Mycobacterium tuberculosis Genomic SurveillanceSemantic proximity Read ↗

High Throughput Sequencing for Clinical Tuberculosis: An OverviewSemantic proximity Read ↗

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