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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doaj-16fff701a25647eba283e0080063d9282020-11-25T03:43:00ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2020-02-011110.3389/fmicb.2020.00052499026sraX: A Novel Comprehensive Resistome Analysis ToolLeonardo G. Panunzi0Leonardo G. Panunzi1Institut Pasteur, Biodiversity and Epidemiology of Bacterial Pathogens, Paris, FranceInstitut Français de Bioinformatique, CNRS UMS 3601, Evry, FranceThe 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.https://www.frontiersin.org/article/10.3389/fmicb.2020.00052/fullantimicrobial resistanceantibiotic resistance generesistome profilingstand-alone softwaresequence analysisgene context visualization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Leonardo G. Panunzi Leonardo G. Panunzi |
spellingShingle |
Leonardo G. Panunzi Leonardo G. Panunzi sraX: A Novel Comprehensive Resistome Analysis Tool Frontiers in Microbiology antimicrobial resistance antibiotic resistance gene resistome profiling stand-alone software sequence analysis gene context visualization |
author_facet |
Leonardo G. Panunzi Leonardo G. Panunzi |
author_sort |
Leonardo G. Panunzi |
title |
sraX: A Novel Comprehensive Resistome Analysis Tool |
title_short |
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_sort |
srax: a novel comprehensive resistome analysis tool |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Microbiology |
issn |
1664-302X |
publishDate |
2020-02-01 |
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. |
topic |
antimicrobial resistance antibiotic resistance gene resistome profiling stand-alone software sequence analysis gene context visualization |
url |
https://www.frontiersin.org/article/10.3389/fmicb.2020.00052/full |
work_keys_str_mv |
AT leonardogpanunzi sraxanovelcomprehensiveresistomeanalysistool AT leonardogpanunzi sraxanovelcomprehensiveresistomeanalysistool |
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1724522022147457024 |