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sraX: A Novel Comprehensive Resistome Analysis Tool
The accurate identification of the assortment of antibiotic resistance genes within a collection of genomes enables the discernment of intricate antimicrobial resistance (AMR) patterns while depicting the diversity of resistome profiles of the analyzed samples. The availability of large amount of se...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025521/ https://www.ncbi.nlm.nih.gov/pubmed/32117104 http://dx.doi.org/10.3389/fmicb.2020.00052 |
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author | Panunzi, Leonardo G. |
author_facet | Panunzi, Leonardo G. |
author_sort | Panunzi, Leonardo G. |
collection | PubMed |
description | The accurate identification of the assortment of antibiotic resistance genes within a collection of genomes enables the discernment of intricate antimicrobial resistance (AMR) patterns while depicting the diversity of resistome profiles of the analyzed samples. The availability of large amount of sequence data, owing to the advancement of novel sequencing technologies, have conceded exciting possibilities for developing suitable AMR exploration tools. However, the level of complexity of bioinformatic analyses has raised as well, since the achievement of desired results involves executing several challenging steps. Here, sraX is proposed as a fully automated analytical pipeline for performing a precise resistome analysis. Our nominated tool is capable of scrutinizing hundreds of bacterial genomes in-parallel for detecting and annotating putative resistant determinants. Particularly, sraX presents unique features: genomic context analysis, validation of known mutations conferring resistance, illustration of drug classes and type of mutated loci proportions and integration of results into a single hyperlinked navigable HTML-formatted file. Furthermore, sraX also exhibits relevant operational features since the complete analysis is accomplished by executing a single-command step. The capacity and efficacy of sraX was demonstrated by re-analyzing 197 strains belonging to Enterococcus spp., from which we confirmed 99.15% of all detection events that were reported in the original study. sraX can be downloaded from https://github.com/lgpdevtools/srax. |
format | Online Article Text |
id | pubmed-7025521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70255212020-02-28 sraX: A Novel Comprehensive Resistome Analysis Tool Panunzi, Leonardo G. Front Microbiol Microbiology The accurate identification of the assortment of antibiotic resistance genes within a collection of genomes enables the discernment of intricate antimicrobial resistance (AMR) patterns while depicting the diversity of resistome profiles of the analyzed samples. The availability of large amount of sequence data, owing to the advancement of novel sequencing technologies, have conceded exciting possibilities for developing suitable AMR exploration tools. However, the level of complexity of bioinformatic analyses has raised as well, since the achievement of desired results involves executing several challenging steps. Here, sraX is proposed as a fully automated analytical pipeline for performing a precise resistome analysis. Our nominated tool is capable of scrutinizing hundreds of bacterial genomes in-parallel for detecting and annotating putative resistant determinants. Particularly, sraX presents unique features: genomic context analysis, validation of known mutations conferring resistance, illustration of drug classes and type of mutated loci proportions and integration of results into a single hyperlinked navigable HTML-formatted file. Furthermore, sraX also exhibits relevant operational features since the complete analysis is accomplished by executing a single-command step. The capacity and efficacy of sraX was demonstrated by re-analyzing 197 strains belonging to Enterococcus spp., from which we confirmed 99.15% of all detection events that were reported in the original study. sraX can be downloaded from https://github.com/lgpdevtools/srax. Frontiers Media S.A. 2020-02-05 /pmc/articles/PMC7025521/ /pubmed/32117104 http://dx.doi.org/10.3389/fmicb.2020.00052 Text en Copyright © 2020 Panunzi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Panunzi, Leonardo G. sraX: A Novel Comprehensive Resistome Analysis Tool |
title | sraX: A Novel Comprehensive Resistome Analysis Tool |
title_full | sraX: A Novel Comprehensive Resistome Analysis Tool |
title_fullStr | sraX: A Novel Comprehensive Resistome Analysis Tool |
title_full_unstemmed | sraX: A Novel Comprehensive Resistome Analysis Tool |
title_short | sraX: A Novel Comprehensive Resistome Analysis Tool |
title_sort | srax: a novel comprehensive resistome analysis tool |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025521/ https://www.ncbi.nlm.nih.gov/pubmed/32117104 http://dx.doi.org/10.3389/fmicb.2020.00052 |
work_keys_str_mv | AT panunzileonardog sraxanovelcomprehensiveresistomeanalysistool |