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

Novel methods included in SpolLineages tool for fast and precise prediction of Mycobacterium tuberculosis complex spoligotype families.

Database : the journal of biological databases and curation - 15 Dec 2020

Couvin David, Segretier Wilfried, Stattner Erick, Rastogi Nalin

Abstract excerpt

Bioinformatic tools are currently being developed to better understand the Mycobacterium tuberculosis complex (MTBC). Several approaches already exist for the identification of MTBC lineages using classical genotyping methods such as mycobacterial interspersed repetitive units-variable number of tandem DNA repeats and spoligotyping-based families. In the recently released SITVIT2 proprietary database of the...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotyping Techniques

Share to Mycobacterium tuberculosis

Share to Software

Share to Tuberculosis

Source

Open in PubMed Open full text

Identifiers

PMID: 33320180
DOI: 10.1093/database/baaa108
PMCID: PMC7737520

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Novel methods included in SpolLineages tool for fast and precise prediction of Mycobacterium tuberculosis complex spoligotype families.PMID 33320180Read ↗

Data mining of Mycobacterium tuberculosis complex genotyping results using mycobacterial interspersed repetitive units validates the clonal structure of spoligotyping-defined families.Semantic proximity Read ↗

SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences.Semantic proximity Read ↗

SpolSimilaritySearch - A web tool to compare and search similarities between spoligotypes of Mycobacterium tuberculosis complex.Semantic proximity Read ↗

Molecular typing of Mycobacterium tuberculosis: a review of current methods, databases, softwares, and analytical toolsSemantic proximity Read ↗

Identifying Mycobacterium tuberculosis complex strain families using spoligotypes.Semantic proximity Read ↗

TB-Lineage: an online tool for classification and analysis of strains of Mycobacterium tuberculosis complex.Semantic proximity Read ↗

Online tools for polyphasic analysis of Mycobacterium tuberculosis complex genotyping data: now and next.Semantic proximity Read ↗

Comparison of in silico predicted Mycobacterium tuberculosis spoligotypes and lineages from whole genome sequencing data.Semantic proximity Read ↗

Spoligotype signatures in the Mycobacterium tuberculosis complex.Semantic proximity Read ↗

Bioinformatic analysis of Mycobacterium tuberculosis whole genome dataSemantic proximity Read ↗

Mycobacterium tuberculosis complex genetic diversity: mining the fourth international spoligotyping database (SpolDB4) for classification, population genetics and epidemiologySemantic proximity Read ↗

Strain classification of Mycobacterium tuberculosis: congruence between large sequence polymorphisms and spoligotypes.Semantic proximity Read ↗

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