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MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates

Analyzing whole-genome sequencing data of Mycobacterium tuberculosis complex (MTBC) isolates in a standardized workflow enables both comprehensive antibiotic resistance profiling and outbreak surveillance with highest resolution up to the identification of recent transmission chains. Here, we presen...

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Autores principales: Kohl, Thomas Andreas, Utpatel, Christian, Schleusener, Viola, De Filippo, Maria Rosaria, Beckert, Patrick, Cirillo, Daniela Maria, Niemann, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238766/
https://www.ncbi.nlm.nih.gov/pubmed/30479891
http://dx.doi.org/10.7717/peerj.5895
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author Kohl, Thomas Andreas
Utpatel, Christian
Schleusener, Viola
De Filippo, Maria Rosaria
Beckert, Patrick
Cirillo, Daniela Maria
Niemann, Stefan
author_facet Kohl, Thomas Andreas
Utpatel, Christian
Schleusener, Viola
De Filippo, Maria Rosaria
Beckert, Patrick
Cirillo, Daniela Maria
Niemann, Stefan
author_sort Kohl, Thomas Andreas
collection PubMed
description Analyzing whole-genome sequencing data of Mycobacterium tuberculosis complex (MTBC) isolates in a standardized workflow enables both comprehensive antibiotic resistance profiling and outbreak surveillance with highest resolution up to the identification of recent transmission chains. Here, we present MTBseq, a bioinformatics pipeline for next-generation genome sequence data analysis of MTBC isolates. Employing a reference mapping based workflow, MTBseq reports detected variant positions annotated with known association to antibiotic resistance and performs a lineage classification based on phylogenetic single nucleotide polymorphisms (SNPs). When comparing multiple datasets, MTBseq provides a joint list of variants and a FASTA alignment of SNP positions for use in phylogenomic analysis, and identifies groups of related isolates. The pipeline is customizable, expandable and can be used on a desktop computer or laptop without any internet connection, ensuring mobile usage and data security. MTBseq and accompanying documentation is available from https://github.com/ngs-fzb/MTBseq_source.
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spelling pubmed-62387662018-11-26 MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates Kohl, Thomas Andreas Utpatel, Christian Schleusener, Viola De Filippo, Maria Rosaria Beckert, Patrick Cirillo, Daniela Maria Niemann, Stefan PeerJ Molecular Biology Analyzing whole-genome sequencing data of Mycobacterium tuberculosis complex (MTBC) isolates in a standardized workflow enables both comprehensive antibiotic resistance profiling and outbreak surveillance with highest resolution up to the identification of recent transmission chains. Here, we present MTBseq, a bioinformatics pipeline for next-generation genome sequence data analysis of MTBC isolates. Employing a reference mapping based workflow, MTBseq reports detected variant positions annotated with known association to antibiotic resistance and performs a lineage classification based on phylogenetic single nucleotide polymorphisms (SNPs). When comparing multiple datasets, MTBseq provides a joint list of variants and a FASTA alignment of SNP positions for use in phylogenomic analysis, and identifies groups of related isolates. The pipeline is customizable, expandable and can be used on a desktop computer or laptop without any internet connection, ensuring mobile usage and data security. MTBseq and accompanying documentation is available from https://github.com/ngs-fzb/MTBseq_source. PeerJ Inc. 2018-11-13 /pmc/articles/PMC6238766/ /pubmed/30479891 http://dx.doi.org/10.7717/peerj.5895 Text en © 2018 Kohl et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Molecular Biology
Kohl, Thomas Andreas
Utpatel, Christian
Schleusener, Viola
De Filippo, Maria Rosaria
Beckert, Patrick
Cirillo, Daniela Maria
Niemann, Stefan
MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates
title MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates
title_full MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates
title_fullStr MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates
title_full_unstemmed MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates
title_short MTBseq: a comprehensive pipeline for whole genome sequence analysis of Mycobacterium tuberculosis complex isolates
title_sort mtbseq: a comprehensive pipeline for whole genome sequence analysis of mycobacterium tuberculosis complex isolates
topic Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238766/
https://www.ncbi.nlm.nih.gov/pubmed/30479891
http://dx.doi.org/10.7717/peerj.5895
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