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EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies
EBI metagenomics (http://www.ebi.ac.uk/metagenomics) provides a free to use platform for the analysis and archiving of sequence data derived from the microbial populations found in a particular environment. Over the past two years, EBI metagenomics has increased the number of datasets analysed 10-fo...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753268/ https://www.ncbi.nlm.nih.gov/pubmed/29069476 http://dx.doi.org/10.1093/nar/gkx967 |
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author | Mitchell, Alex L Scheremetjew, Maxim Denise, Hubert Potter, Simon Tarkowska, Aleksandra Qureshi, Matloob Salazar, Gustavo A Pesseat, Sebastien Boland, Miguel A Hunter, Fiona M I ten Hoopen, Petra Alako, Blaise Amid, Clara Wilkinson, Darren J Curtis, Thomas P Cochrane, Guy Finn, Robert D |
author_facet | Mitchell, Alex L Scheremetjew, Maxim Denise, Hubert Potter, Simon Tarkowska, Aleksandra Qureshi, Matloob Salazar, Gustavo A Pesseat, Sebastien Boland, Miguel A Hunter, Fiona M I ten Hoopen, Petra Alako, Blaise Amid, Clara Wilkinson, Darren J Curtis, Thomas P Cochrane, Guy Finn, Robert D |
author_sort | Mitchell, Alex L |
collection | PubMed |
description | EBI metagenomics (http://www.ebi.ac.uk/metagenomics) provides a free to use platform for the analysis and archiving of sequence data derived from the microbial populations found in a particular environment. Over the past two years, EBI metagenomics has increased the number of datasets analysed 10-fold. In addition to increased throughput, the underlying analysis pipeline has been overhauled to include both new or updated tools and reference databases. Of particular note is a new workflow for taxonomic assignments that has been extended to include assignments based on both the large and small subunit RNA marker genes and to encompass all cellular micro-organisms. We also describe the addition of metagenomic assembly as a new analysis service. Our pilot studies have produced over 2400 assemblies from datasets in the public domain. From these assemblies, we have produced a searchable, non-redundant protein database of over 50 million sequences. To provide improved access to the data stored within the resource, we have developed a programmatic interface that provides access to the analysis results and associated sample metadata. Finally, we have integrated the results of a series of statistical analyses that provide estimations of diversity and sample comparisons. |
format | Online Article Text |
id | pubmed-5753268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532682018-01-05 EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies Mitchell, Alex L Scheremetjew, Maxim Denise, Hubert Potter, Simon Tarkowska, Aleksandra Qureshi, Matloob Salazar, Gustavo A Pesseat, Sebastien Boland, Miguel A Hunter, Fiona M I ten Hoopen, Petra Alako, Blaise Amid, Clara Wilkinson, Darren J Curtis, Thomas P Cochrane, Guy Finn, Robert D Nucleic Acids Res Database Issue EBI metagenomics (http://www.ebi.ac.uk/metagenomics) provides a free to use platform for the analysis and archiving of sequence data derived from the microbial populations found in a particular environment. Over the past two years, EBI metagenomics has increased the number of datasets analysed 10-fold. In addition to increased throughput, the underlying analysis pipeline has been overhauled to include both new or updated tools and reference databases. Of particular note is a new workflow for taxonomic assignments that has been extended to include assignments based on both the large and small subunit RNA marker genes and to encompass all cellular micro-organisms. We also describe the addition of metagenomic assembly as a new analysis service. Our pilot studies have produced over 2400 assemblies from datasets in the public domain. From these assemblies, we have produced a searchable, non-redundant protein database of over 50 million sequences. To provide improved access to the data stored within the resource, we have developed a programmatic interface that provides access to the analysis results and associated sample metadata. Finally, we have integrated the results of a series of statistical analyses that provide estimations of diversity and sample comparisons. Oxford University Press 2018-01-04 2017-10-23 /pmc/articles/PMC5753268/ /pubmed/29069476 http://dx.doi.org/10.1093/nar/gkx967 Text en © The Author(s) 2017. 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 L Scheremetjew, Maxim Denise, Hubert Potter, Simon Tarkowska, Aleksandra Qureshi, Matloob Salazar, Gustavo A Pesseat, Sebastien Boland, Miguel A Hunter, Fiona M I ten Hoopen, Petra Alako, Blaise Amid, Clara Wilkinson, Darren J Curtis, Thomas P Cochrane, Guy Finn, Robert D EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies |
title | EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies |
title_full | EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies |
title_fullStr | EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies |
title_full_unstemmed | EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies |
title_short | EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies |
title_sort | ebi metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753268/ https://www.ncbi.nlm.nih.gov/pubmed/29069476 http://dx.doi.org/10.1093/nar/gkx967 |
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