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Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp

Microbial community profiling by barcoded 16S rRNA gene amplicon sequencing currently has many applications in microbial ecology. The low costs of the parallel sequencing of multiplexed samples, combined with the relative ease of data processing and interpretation (compared to shotgun metagenomes) h...

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Autores principales: Dong, Xiaoli, Kleiner, Manuel, Sharp, Christine E., Thorson, Erin, Li, Carmen, Liu, Dan, Strous, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540949/
https://www.ncbi.nlm.nih.gov/pubmed/28824589
http://dx.doi.org/10.3389/fmicb.2017.01461
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author Dong, Xiaoli
Kleiner, Manuel
Sharp, Christine E.
Thorson, Erin
Li, Carmen
Liu, Dan
Strous, Marc
author_facet Dong, Xiaoli
Kleiner, Manuel
Sharp, Christine E.
Thorson, Erin
Li, Carmen
Liu, Dan
Strous, Marc
author_sort Dong, Xiaoli
collection PubMed
description Microbial community profiling by barcoded 16S rRNA gene amplicon sequencing currently has many applications in microbial ecology. The low costs of the parallel sequencing of multiplexed samples, combined with the relative ease of data processing and interpretation (compared to shotgun metagenomes) have made this an entry-level approach. Here we present the MetaAmp pipeline for processing of SSU rRNA gene and other non-coding or protein-coding amplicon sequencing data by investigators that are inexperienced with bioinformatics procedures. It accepts single-end or paired-end sequences in fasta or fastq format from various sequencing platforms. It includes read quality control, and merging of forward and reverse reads of paired-end reads. It makes use of UPARSE, Mothur, and the SILVA database for clustering, removal of chimeric reads, taxonomic classification, and generation of diversity metrics. The pipeline has been validated with a mock community of known composition. MetaAmp provides a convenient web interface as well as command line interface. It is freely available at: http://ebg.ucalgary.ca/metaamp. Since its launch 2 years ago, MetaAmp has been used >2,800 times, by many users worldwide.
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spelling pubmed-55409492017-08-18 Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp Dong, Xiaoli Kleiner, Manuel Sharp, Christine E. Thorson, Erin Li, Carmen Liu, Dan Strous, Marc Front Microbiol Microbiology Microbial community profiling by barcoded 16S rRNA gene amplicon sequencing currently has many applications in microbial ecology. The low costs of the parallel sequencing of multiplexed samples, combined with the relative ease of data processing and interpretation (compared to shotgun metagenomes) have made this an entry-level approach. Here we present the MetaAmp pipeline for processing of SSU rRNA gene and other non-coding or protein-coding amplicon sequencing data by investigators that are inexperienced with bioinformatics procedures. It accepts single-end or paired-end sequences in fasta or fastq format from various sequencing platforms. It includes read quality control, and merging of forward and reverse reads of paired-end reads. It makes use of UPARSE, Mothur, and the SILVA database for clustering, removal of chimeric reads, taxonomic classification, and generation of diversity metrics. The pipeline has been validated with a mock community of known composition. MetaAmp provides a convenient web interface as well as command line interface. It is freely available at: http://ebg.ucalgary.ca/metaamp. Since its launch 2 years ago, MetaAmp has been used >2,800 times, by many users worldwide. Frontiers Media S.A. 2017-08-03 /pmc/articles/PMC5540949/ /pubmed/28824589 http://dx.doi.org/10.3389/fmicb.2017.01461 Text en Copyright © 2017 Dong, Kleiner, Sharp, Thorson, Li, Liu and Strous. 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) or licensor 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
Dong, Xiaoli
Kleiner, Manuel
Sharp, Christine E.
Thorson, Erin
Li, Carmen
Liu, Dan
Strous, Marc
Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp
title Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp
title_full Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp
title_fullStr Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp
title_full_unstemmed Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp
title_short Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp
title_sort fast and simple analysis of miseq amplicon sequencing data with metaamp
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540949/
https://www.ncbi.nlm.nih.gov/pubmed/28824589
http://dx.doi.org/10.3389/fmicb.2017.01461
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