EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies

نویسندگان

  • Alex L. Mitchell
  • Maxim Scheremetjew
  • Hubert Denise
  • Simon C. Potter
  • Aleksandra Tarkowska
  • Matloob Qureshi
  • Gustavo A. Salazar
  • Sebastien Pesseat
  • Miguel A. Boland
  • Fiona M. I. Hunter
  • Petra ten Hoopen
  • Blaise T. F. Alako
  • Clara Amid
  • Darren J. Wilkinson
  • Thomas P. Curtis
  • Guy Cochrane
  • Robert D. Finn
چکیده

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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عنوان ژورنال:

دوره 46  شماره 

صفحات  -

تاریخ انتشار 2018