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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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.
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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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