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EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data
EBI metagenomics (https://www.ebi.ac.uk/metagenomics/) is a freely available hub for the analysis and archiving of metagenomic and metatranscriptomic data. Over the last 2 years, the resource has undergone rapid growth, with an increase of over five-fold in the number of processed samples and conseq...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702853/ https://www.ncbi.nlm.nih.gov/pubmed/26582919 http://dx.doi.org/10.1093/nar/gkv1195 |
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author | Mitchell, Alex Bucchini, Francois Cochrane, Guy Denise, Hubert Hoopen, Petra ten Fraser, Matthew Pesseat, Sebastien Potter, Simon Scheremetjew, Maxim Sterk, Peter Finn, Robert D. |
author_facet | Mitchell, Alex Bucchini, Francois Cochrane, Guy Denise, Hubert Hoopen, Petra ten Fraser, Matthew Pesseat, Sebastien Potter, Simon Scheremetjew, Maxim Sterk, Peter Finn, Robert D. |
author_sort | Mitchell, Alex |
collection | PubMed |
description | EBI metagenomics (https://www.ebi.ac.uk/metagenomics/) is a freely available hub for the analysis and archiving of metagenomic and metatranscriptomic data. Over the last 2 years, the resource has undergone rapid growth, with an increase of over five-fold in the number of processed samples and consequently represents one of the largest resources of analysed shotgun metagenomes. Here, we report the status of the resource in 2016 and give an overview of new developments. In particular, we describe updates to data content, a complete overhaul of the analysis pipeline, streamlining of data presentation via the website and the development of a new web based tool to compare functional analyses of sequence runs within a study. We also highlight two of the higher profile projects that have been analysed using the resource in the last year: the oceanographic projects Ocean Sampling Day and Tara Oceans. |
format | Online Article Text |
id | pubmed-4702853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47028532016-01-07 EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data Mitchell, Alex Bucchini, Francois Cochrane, Guy Denise, Hubert Hoopen, Petra ten Fraser, Matthew Pesseat, Sebastien Potter, Simon Scheremetjew, Maxim Sterk, Peter Finn, Robert D. Nucleic Acids Res Database Issue EBI metagenomics (https://www.ebi.ac.uk/metagenomics/) is a freely available hub for the analysis and archiving of metagenomic and metatranscriptomic data. Over the last 2 years, the resource has undergone rapid growth, with an increase of over five-fold in the number of processed samples and consequently represents one of the largest resources of analysed shotgun metagenomes. Here, we report the status of the resource in 2016 and give an overview of new developments. In particular, we describe updates to data content, a complete overhaul of the analysis pipeline, streamlining of data presentation via the website and the development of a new web based tool to compare functional analyses of sequence runs within a study. We also highlight two of the higher profile projects that have been analysed using the resource in the last year: the oceanographic projects Ocean Sampling Day and Tara Oceans. Oxford University Press 2016-01-04 2015-11-17 /pmc/articles/PMC4702853/ /pubmed/26582919 http://dx.doi.org/10.1093/nar/gkv1195 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Mitchell, Alex Bucchini, Francois Cochrane, Guy Denise, Hubert Hoopen, Petra ten Fraser, Matthew Pesseat, Sebastien Potter, Simon Scheremetjew, Maxim Sterk, Peter Finn, Robert D. EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data |
title | EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data |
title_full | EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data |
title_fullStr | EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data |
title_full_unstemmed | EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data |
title_short | EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data |
title_sort | ebi metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702853/ https://www.ncbi.nlm.nih.gov/pubmed/26582919 http://dx.doi.org/10.1093/nar/gkv1195 |
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