MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data

Abstract The increase in available sequence data has advanced the field of microbiology; however, making sense of these data without bioinformatics skills is still problematic. We describe MICRA, an automatic pipeline, available as a web interface, for microbial identification and characterization t...

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Main Authors: Ségolène Caboche, Gaël Even, Alexandre Loywick, Christophe Audebert, David Hot
Format: Article
Language:English
Published: BMC 2017-12-01
Series:Genome Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13059-017-1367-z
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spelling doaj-abfe3e1325ee49428d0da570ad3c283a2020-11-24T20:42:06ZengBMCGenome Biology1474-760X2017-12-0118111410.1186/s13059-017-1367-zMICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing dataSégolène Caboche0Gaël Even1Alexandre Loywick2Christophe Audebert3David Hot4University of Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019-UMR 8204-CIIL-Centre d’Infection et d’Immunité de LilleGenes DiffusionGenes DiffusionGenes DiffusionUniversity of Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019-UMR 8204-CIIL-Centre d’Infection et d’Immunité de LilleAbstract The increase in available sequence data has advanced the field of microbiology; however, making sense of these data without bioinformatics skills is still problematic. We describe MICRA, an automatic pipeline, available as a web interface, for microbial identification and characterization through reads analysis. MICRA uses iterative mapping against reference genomes to identify genes and variations. Additional modules allow prediction of antibiotic susceptibility and resistance and comparing the results of several samples. MICRA is fast, producing few false-positive annotations and variant calls compared to current methods, making it a tool of great interest for fully exploiting sequencing data.http://link.springer.com/article/10.1186/s13059-017-1367-zBioinformatics pipelineComparative genomicsMicrobial genome characterizationHigh-throughput sequencing
collection DOAJ
language English
format Article
sources DOAJ
author Ségolène Caboche
Gaël Even
Alexandre Loywick
Christophe Audebert
David Hot
spellingShingle Ségolène Caboche
Gaël Even
Alexandre Loywick
Christophe Audebert
David Hot
MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
Genome Biology
Bioinformatics pipeline
Comparative genomics
Microbial genome characterization
High-throughput sequencing
author_facet Ségolène Caboche
Gaël Even
Alexandre Loywick
Christophe Audebert
David Hot
author_sort Ségolène Caboche
title MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
title_short MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
title_full MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
title_fullStr MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
title_full_unstemmed MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
title_sort micra: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
publisher BMC
series Genome Biology
issn 1474-760X
publishDate 2017-12-01
description Abstract The increase in available sequence data has advanced the field of microbiology; however, making sense of these data without bioinformatics skills is still problematic. We describe MICRA, an automatic pipeline, available as a web interface, for microbial identification and characterization through reads analysis. MICRA uses iterative mapping against reference genomes to identify genes and variations. Additional modules allow prediction of antibiotic susceptibility and resistance and comparing the results of several samples. MICRA is fast, producing few false-positive annotations and variant calls compared to current methods, making it a tool of great interest for fully exploiting sequencing data.
topic Bioinformatics pipeline
Comparative genomics
Microbial genome characterization
High-throughput sequencing
url http://link.springer.com/article/10.1186/s13059-017-1367-z
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