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

2017 Nucleic Acids Research 232 citations

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

MetagenomicsBiologyWorkflowMetadataComputational biologyPipeline (software)Sample (material)BioinformaticsDatabaseComputer scienceWorld Wide WebGeneticsGene

MeSH Terms

AlgorithmsBase SequenceClassificationDatabasesGeneticDatasets as TopicMetagenomicsMicrobiotaRNAArchaealRNABacterialRNAViralRibotypingSoftwareTranscriptomeUser-Computer InterfaceWeb BrowserWorkflow

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Publication Info

Year
2017
Type
article
Volume
46
Issue
D1
Pages
D726-D735
Citations
232
Access
Closed

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232
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12
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Cite This

Alex Mitchell, Maxim Scheremetjew, Hubert Denise et al. (2017). EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies. Nucleic Acids Research , 46 (D1) , D726-D735. https://doi.org/10.1093/nar/gkx967

Identifiers

DOI
10.1093/nar/gkx967
PMID
29069476
PMCID
PMC5753268

Data Quality

Data completeness: 86%