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MLSTar: automatic multilocus sequence typing of bacterial genomes in R
Multilocus sequence typing (MLST) is a standard tool in population genetics and bacterial epidemiology that assesses the genetic variation present in a reduced number of housekeeping genes (typically seven) along the genome. This methodology assigns arbitrary integer identifiers to genetic variation...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005169/ https://www.ncbi.nlm.nih.gov/pubmed/29922519 http://dx.doi.org/10.7717/peerj.5098 |
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author | Ferrés, Ignacio Iraola, Gregorio |
author_facet | Ferrés, Ignacio Iraola, Gregorio |
author_sort | Ferrés, Ignacio |
collection | PubMed |
description | Multilocus sequence typing (MLST) is a standard tool in population genetics and bacterial epidemiology that assesses the genetic variation present in a reduced number of housekeeping genes (typically seven) along the genome. This methodology assigns arbitrary integer identifiers to genetic variations at these loci which allows us to efficiently compare bacterial isolates using allele-based methods. Now, the increasing availability of whole-genome sequences for hundreds to thousands of strains from the same bacterial species has allowed us to apply and extend MLST schemes by automatic extraction of allele information from the genomes. The PubMLST database is the most comprehensive resource of described schemes available for a wide variety of species. Here we present MLSTar as the first R package that allows us to (i) connect with the PubMLST database to select a target scheme, (ii) screen a desired set of genomes to assign alleles and sequence types, and (iii) interact with other widely used R packages to analyze and produce graphical representations of the data. We applied MLSTar to analyze more than 2,500 bacterial genomes from different species, showing great accuracy, and comparable performance with previously published command-line tools. MLSTar can be freely downloaded from http://github.com/iferres/MLSTar. |
format | Online Article Text |
id | pubmed-6005169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60051692018-06-19 MLSTar: automatic multilocus sequence typing of bacterial genomes in R Ferrés, Ignacio Iraola, Gregorio PeerJ Bioinformatics Multilocus sequence typing (MLST) is a standard tool in population genetics and bacterial epidemiology that assesses the genetic variation present in a reduced number of housekeeping genes (typically seven) along the genome. This methodology assigns arbitrary integer identifiers to genetic variations at these loci which allows us to efficiently compare bacterial isolates using allele-based methods. Now, the increasing availability of whole-genome sequences for hundreds to thousands of strains from the same bacterial species has allowed us to apply and extend MLST schemes by automatic extraction of allele information from the genomes. The PubMLST database is the most comprehensive resource of described schemes available for a wide variety of species. Here we present MLSTar as the first R package that allows us to (i) connect with the PubMLST database to select a target scheme, (ii) screen a desired set of genomes to assign alleles and sequence types, and (iii) interact with other widely used R packages to analyze and produce graphical representations of the data. We applied MLSTar to analyze more than 2,500 bacterial genomes from different species, showing great accuracy, and comparable performance with previously published command-line tools. MLSTar can be freely downloaded from http://github.com/iferres/MLSTar. PeerJ Inc. 2018-06-15 /pmc/articles/PMC6005169/ /pubmed/29922519 http://dx.doi.org/10.7717/peerj.5098 Text en © 2018 Ferrés and Iraola 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 | Bioinformatics Ferrés, Ignacio Iraola, Gregorio MLSTar: automatic multilocus sequence typing of bacterial genomes in R |
title | MLSTar: automatic multilocus sequence typing of bacterial genomes in R |
title_full | MLSTar: automatic multilocus sequence typing of bacterial genomes in R |
title_fullStr | MLSTar: automatic multilocus sequence typing of bacterial genomes in R |
title_full_unstemmed | MLSTar: automatic multilocus sequence typing of bacterial genomes in R |
title_short | MLSTar: automatic multilocus sequence typing of bacterial genomes in R |
title_sort | mlstar: automatic multilocus sequence typing of bacterial genomes in r |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005169/ https://www.ncbi.nlm.nih.gov/pubmed/29922519 http://dx.doi.org/10.7717/peerj.5098 |
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