The MG-RAST metagenomics database and portal in 2015

MG-RAST (http://metagenomics.anl.gov) is an open-submission data portal for processing, analyzing, sharing and disseminating metagenomic datasets. The system currently hosts over 200 000 datasets and is continuously updated. The volume of submissions has increased 4-fold over the past 24 months, now...

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Detalles Bibliográficos
Autores principales: Wilke, Andreas, Bischof, Jared, Gerlach, Wolfgang, Glass, Elizabeth, Harrison, Travis, Keegan, Kevin P., Paczian, Tobias, Trimble, William L., Bagchi, Saurabh, Grama, Ananth, Chaterji, Somali, Meyer, Folker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Database Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702923/
https://www.ncbi.nlm.nih.gov/pubmed/26656948
http://dx.doi.org/10.1093/nar/gkv1322
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author Wilke, Andreas
Bischof, Jared
Gerlach, Wolfgang
Glass, Elizabeth
Harrison, Travis
Keegan, Kevin P.
Paczian, Tobias
Trimble, William L.
Bagchi, Saurabh
Grama, Ananth
Chaterji, Somali
Meyer, Folker
author_facet Wilke, Andreas
Bischof, Jared
Gerlach, Wolfgang
Glass, Elizabeth
Harrison, Travis
Keegan, Kevin P.
Paczian, Tobias
Trimble, William L.
Bagchi, Saurabh
Grama, Ananth
Chaterji, Somali
Meyer, Folker
author_sort Wilke, Andreas
collection PubMed
description MG-RAST (http://metagenomics.anl.gov) is an open-submission data portal for processing, analyzing, sharing and disseminating metagenomic datasets. The system currently hosts over 200 000 datasets and is continuously updated. The volume of submissions has increased 4-fold over the past 24 months, now averaging 4 terabasepairs per month. In addition to several new features, we report changes to the analysis workflow and the technologies used to scale the pipeline up to the required throughput levels. To show possible uses for the data from MG-RAST, we present several examples integrating data and analyses from MG-RAST into popular third-party analysis tools or sequence alignment tools.
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spelling pubmed-47029232016-01-07 The MG-RAST metagenomics database and portal in 2015 Wilke, Andreas Bischof, Jared Gerlach, Wolfgang Glass, Elizabeth Harrison, Travis Keegan, Kevin P. Paczian, Tobias Trimble, William L. Bagchi, Saurabh Grama, Ananth Chaterji, Somali Meyer, Folker Nucleic Acids Res Database Issue MG-RAST (http://metagenomics.anl.gov) is an open-submission data portal for processing, analyzing, sharing and disseminating metagenomic datasets. The system currently hosts over 200 000 datasets and is continuously updated. The volume of submissions has increased 4-fold over the past 24 months, now averaging 4 terabasepairs per month. In addition to several new features, we report changes to the analysis workflow and the technologies used to scale the pipeline up to the required throughput levels. To show possible uses for the data from MG-RAST, we present several examples integrating data and analyses from MG-RAST into popular third-party analysis tools or sequence alignment tools. Oxford University Press 2016-01-04 2015-12-09 /pmc/articles/PMC4702923/ /pubmed/26656948 http://dx.doi.org/10.1093/nar/gkv1322 Text en © Oxford University Press 2015, funded by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research, under contract DE-AC02-06CH11357.
spellingShingle Database Issue
Wilke, Andreas
Bischof, Jared
Gerlach, Wolfgang
Glass, Elizabeth
Harrison, Travis
Keegan, Kevin P.
Paczian, Tobias
Trimble, William L.
Bagchi, Saurabh
Grama, Ananth
Chaterji, Somali
Meyer, Folker
The MG-RAST metagenomics database and portal in 2015
title The MG-RAST metagenomics database and portal in 2015
title_full The MG-RAST metagenomics database and portal in 2015
title_fullStr The MG-RAST metagenomics database and portal in 2015
title_full_unstemmed The MG-RAST metagenomics database and portal in 2015
title_short The MG-RAST metagenomics database and portal in 2015
title_sort mg-rast metagenomics database and portal in 2015
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702923/
https://www.ncbi.nlm.nih.gov/pubmed/26656948
http://dx.doi.org/10.1093/nar/gkv1322
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