EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies
Authors:
- Alex L MitchellAlex L Mitchell
- Maxim ScheremetjewMSMaxim Scheremetjew
- Hubert DeniseHubert Denise
- Simon PotterSPSimon Potter
- Aleksandra TarkowskaATAleksandra Tarkowska
- Matloob QureshiMatloob Qureshi
- Gustavo A SalazarGustavo A Salazar
- Sebastien PesseatSPSebastien Pesseat
- Miguel A BolandMiguel A Boland
- Fiona M I HunterFiona M I Hunter
- Petra Ten HoopenPetra Ten Hoopen
- Blaise AlakoBlaise Alako
Open Access
- 23 October 2017
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 46 (D1) , D726-D735
Abstract
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.Keywords
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