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Cited by 210

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

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

Open access
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·2018·Nucleic Acids Research

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.

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Metadata

Authors
Mitchell, A. L., Scheremetjew, M., Denise, H., Potter, S., Tarkowska, A., Qureshi, M., Salazar, G. A., Pesseat, S., Boland, M. A., Hunter, F. M. I., ten Hoopen, P., Alako, B., Amid, C., Wilkinson, D. J., Curtis, T. P., Cochrane, G., & Finn, R. D.
Venue
Nucleic Acids Research
Published
2017-10-23
Volume
46
Issue
D1
Pages
D726-D735
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2766822634
Cited by
210
References
7
FWCI
9.22
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies. https://app.cochat.ai/papers/10.1093/nar/gkx967
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Mitchell, A. L., Scheremetjew, M., Denise, H., Potter, S., Tarkowska, A., Qureshi, M., Salazar, G. A., Pesseat, S., Boland, M. A., Hunter, F. M. I., ten Hoopen, P., Alako, B., Amid, C., Wilkinson, D. J., Curtis, T. P., Cochrane, G., & Finn, R. D. (2018). EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies. Nucleic Acids Research. https://doi.org/10.1093/nar/gkx967

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.