Database Commons a catalog of biological databases

Database Commons - EBI Metagenomics

EBI Metagenomics

Citations: 32

z-index 4.88

Short name EBI Metagenomics
Full name EBI Metagenomics
Description EBI Metagenomics is a new resource for the analysis and archiving of metagenomic data. It allows users to easily submit raw nucleotide reads for functional and taxonomic analysis by a state-of-the-art pipeline, and have them automatically stored (together with descriptive, standards-compliant metadata) in the European Nucleotide Archive
URL https://www.ebi.ac.uk/metagenomics/
Year founded 2013
Last update & version 2015-12-09    
Availability Free to all users
University/Institution hosted European Bioinformatics Institute
Address European Molecular Biology Laboratory,European Bioinformatics Institute (EMBL-EBI),Wellcome Trust Genome Campus,Hinxton,CB10 1SD,UK
City Cambridge
Province/State
Country/Region United Kingdom
Contact name Sarah Hunter
Contact email hunter@ebi.ac.uk
Data type(s)
Major organism(s)
Keyword(s)
  • ENA
  • metagenomic data
  • metatranscriptome
Publication(s)
  • EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data. [PMID: 26582919]

    Alex Mitchell, Francois Bucchini, Guy Cochrane, Hubert Denise, Petra Ten Hoopen, Matthew Fraser, Sebastien Pesseat, Simon Potter, Maxim Scheremetjew, Peter Sterk, Robert D Finn
    Nucleic acids research 2016:44(D1)
    2 Citations (Google Scholar as of 2016-01-29)

    Abstract: EBI metagenomics (https://www.ebi.ac.uk/metagenomics/) is a freely available hub for the analysis and archiving of metagenomic and metatranscriptomic data. Over the last 2 years, the resource has undergone rapid growth, with an increase of over five-fold in the number of processed samples and consequently represents one of the largest resources of analysed shotgun metagenomes. Here, we report the status of the resource in 2016 and give an overview of new developments. In particular, we describe updates to data content, a complete overhaul of the analysis pipeline, streamlining of data presentation via the website and the development of a new web based tool to compare functional analyses of sequence runs within a study. We also highlight two of the higher profile projects that have been analysed using the resource in the last year: the oceanographic projects Ocean Sampling Day and Tara Oceans. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  • EBI metagenomics--a new resource for the analysis and archiving of metagenomic data. [PMID: 24165880]

    Sarah Hunter, Matthew Corbett, Hubert Denise, Matthew Fraser, Alejandra Gonzalez-Beltran, Christopher Hunter, Philip Jones, Rasko Leinonen, Craig McAnulla, Eamonn Maguire, John Maslen, Alex Mitchell, Gift Nuka, Arnaud Oisel, Sebastien Pesseat, Rajesh Radhakrishnan, Philippe Rocca-Serra, Maxim Scheremetjew, Peter Sterk, Daniel Vaughan, Guy Cochrane, Dawn Field, Susanna-Assunta Sansone
    Nucleic acids research 2014:42(Database issue)
    30 Citations (Google Scholar as of 2016-01-27)

    Abstract: Metagenomics is a relatively recently established but rapidly expanding field that uses high-throughput next-generation sequencing technologies to characterize the microbial communities inhabiting different ecosystems (including oceans, lakes, soil, tundra, plants and body sites). Metagenomics brings with it a number of challenges, including the management, analysis, storage and sharing of data. In response to these challenges, we have developed a new metagenomics resource (http://www.ebi.ac.uk/metagenomics/) that allows users to easily submit raw nucleotide reads for functional and taxonomic analysis by a state-of-the-art pipeline, and have them automatically stored (together with descriptive, standards-compliant metadata) in the European Nucleotide Archive.

Community reviews

Data
quality & quantity
Content organization & presentation
System accessibility & reliability
Reviewed by

Word cloud (embeddable)

Database Commons - Word Cloud

Accessibility

Rate of accessibility:
HTTP status codeDate requested
-1 Failed2018-11-20
-1 Failed2018-11-16
-1 Failed2018-11-13
-1 Failed2018-11-09
-1 Failed2018-11-06
-1 Failed2018-11-02
-1 Failed2018-10-30
-1 Failed2018-10-26
-1 Failed2018-10-23
-1 Failed2018-10-19
-1 Failed2018-10-16
-1 Failed2018-10-12
-1 Failed2018-10-09
-1 Failed2018-10-05
-1 Failed2018-10-02
-1 Failed2018-09-28
-1 Failed2018-09-25
-1 Failed2018-09-21
-1 Failed2018-09-18
-1 Failed2018-09-14
-1 Failed2018-09-11
-1 Failed2018-09-07
-1 Failed2018-09-04
-1 Failed2018-08-31
-1 Failed2018-08-28
-1 Failed2018-08-24
-1 Failed2018-08-21
-1 Failed2018-08-17
-1 Failed2018-08-14
-1 Failed2018-08-10
-1 Failed2018-08-07
-1 Failed2018-08-03
-1 Failed2018-07-31
-1 Failed2018-07-27
-1 Failed2018-07-24
-1 Failed2018-07-20
-1 Failed2018-07-17
-1 Failed2018-07-13
-1 Failed2018-07-10
-1 Failed2018-07-06
-1 Failed2018-07-03
-1 Failed2018-06-29
-1 Failed2018-06-26
-1 Failed2018-06-22
-1 Failed2018-06-19
-1 Failed2018-06-15
-1 Failed2018-06-12
-1 Failed2018-06-08
-1 Failed2018-06-05
-1 Failed2018-06-01
-1 Failed2018-05-29
-1 Failed2018-05-25
-1 Failed2018-05-22
-1 Failed2018-05-18
-1 Failed2018-05-15
-1 Failed2018-05-11
-1 Failed2018-05-08
-1 Failed2018-05-04
-1 Failed2018-05-01
-1 Failed2018-04-27
-1 Failed2018-04-24
-1 Failed2018-04-20
-1 Failed2018-04-17
-1 Failed2018-04-13
-1 Failed2018-04-10
-1 Failed2018-04-06
-1 Failed2018-04-03
-1 Failed2018-02-27
-1 Failed2018-02-23
-1 Failed2018-02-20
-1 Failed2018-02-16
-1 Failed2018-02-13
-1 Failed2018-02-09
-1 Failed2018-02-06
-1 Failed2018-02-02
-1 Failed2018-01-30
-1 Failed2018-01-26
-1 Failed2018-01-23
-1 Failed2018-01-19
-1 Failed2018-01-16
-1 Failed2018-01-12
-1 Failed2018-01-09
-1 Failed2018-01-05
-1 Failed2018-01-02
-1 Failed2017-12-29
-1 Failed2017-12-26
-1 Failed2017-12-22
-1 Failed2017-12-19
-1 Failed2017-12-15
-1 Failed2017-12-12
-1 Failed2017-12-08
-1 Failed2017-12-05
-1 Failed2017-12-01
-1 Failed2017-11-28
-1 Failed2017-11-24
-1 Failed2017-11-21
-1 Failed2017-11-17
-1 Failed2017-11-14
-1 Failed2017-11-10
-1 Failed2017-11-07
-1 Failed2017-11-03
-1 Failed2017-10-31
-1 Failed2017-10-27
-1 Failed2017-10-24
-1 Failed2017-10-20
-1 Failed2017-10-17
-1 Failed2017-10-13
-1 Failed2017-10-10
-1 Failed2017-10-06
-1 Failed2017-10-03
-1 Failed2017-09-29
-1 Failed2017-09-26
-1 Failed2017-09-22
-1 Failed2017-09-19
-1 Failed2017-09-15
-1 Failed2017-09-12
-1 Failed2017-09-08
-1 Failed2017-09-05
-1 Failed2017-09-01
200 OK2017-08-29
200 OK2017-08-25
200 OK2017-08-22
200 OK2017-08-18
200 OK2017-08-15
200 OK2017-08-11
200 OK2017-08-08
200 OK2017-08-04
200 OK2017-08-01
200 OK2017-07-28
200 OK2017-07-25
200 OK2017-07-21
200 OK2017-07-18
200 OK2017-07-14
200 OK2017-07-04
200 OK2017-06-30
200 OK2017-06-27
200 OK2017-06-23
200 OK2017-06-20
200 OK2017-06-16
200 OK2017-06-13
200 OK2017-06-09
200 OK2017-06-06
200 OK2017-06-02
200 OK2017-05-30
200 OK2017-05-26
200 OK2017-05-23
200 OK2017-05-19
200 OK2017-05-16
200 OK2017-05-12
200 OK2017-05-09
200 OK2017-05-05
200 OK2017-05-02
200 OK2017-04-28
200 OK2017-04-25
200 OK2017-04-21
200 OK2017-04-18
200 OK2017-04-14
200 OK2017-04-11
200 OK2017-04-07
200 OK2017-04-04
200 OK2017-03-31
200 OK2017-03-28
200 OK2017-03-24
200 OK2017-03-21
200 OK2017-03-17
200 OK2017-03-14
200 OK2017-03-10
200 OK2017-03-07
200 OK2017-03-03
200 OK2017-02-28
200 OK2017-02-24
200 OK2017-02-21
200 OK2017-02-17
200 OK2017-02-14
200 OK2017-02-10
200 OK2017-02-07
200 OK2017-02-03
200 OK2017-01-31
200 OK2017-01-27
200 OK2017-01-24
200 OK2017-01-20
200 OK2017-01-17
200 OK2017-01-13
200 OK2017-01-10
200 OK2017-01-06
200 OK2017-01-03
200 OK2016-12-30
200 OK2016-12-27
200 OK2016-12-23
200 OK2016-12-20
200 OK2016-12-16
200 OK2016-12-13
200 OK2016-12-09
200 OK2016-12-06
200 OK2016-12-02
200 OK2016-11-29
200 OK2016-11-25
200 OK2016-11-22
200 OK2016-11-18
200 OK2016-11-15
200 OK2016-11-11
200 OK2016-11-08
200 OK2016-11-04
200 OK2016-11-01
200 OK2016-10-28
200 OK2016-10-25
200 OK2016-10-21
200 OK2016-10-18
200 OK2016-10-14
200 OK2016-10-11
200 OK2016-10-07
200 OK2016-10-04
200 OK2016-09-30
200 OK2016-09-27
200 OK2016-09-23
200 OK2016-09-20
200 OK2016-09-16
200 OK2016-09-13
200 OK2016-09-09
200 OK2016-09-06
200 OK2016-09-02
200 OK2016-08-30
200 OK2016-08-26
200 OK2016-08-23
200 OK2016-08-19
200 OK2016-08-16
200 OK2016-08-12
200 OK2016-08-09
200 OK2016-08-05
200 OK2016-08-02
200 OK2016-07-29
200 OK2016-07-26
200 OK2016-07-22
200 OK2016-07-19
200 OK2016-07-15
200 OK2016-07-12
200 OK2016-07-08
200 OK2016-07-05
200 OK2016-07-01
200 OK2016-06-28
200 OK2016-06-24
200 OK2016-06-21
200 OK2016-06-17
200 OK2016-06-14
200 OK2016-06-10
200 OK2016-06-07
200 OK2016-06-03
200 OK2016-05-31
200 OK2016-05-27
200 OK2016-05-24
200 OK2016-05-20
200 OK2016-05-17
200 OK2016-05-13
200 OK2016-05-10
200 OK2016-05-06
200 OK2016-05-03
200 OK2016-04-29
200 OK2016-04-26
200 OK2016-04-22
200 OK2016-04-19
200 OK2016-04-15
200 OK2016-04-12
200 OK2016-04-08
200 OK2016-04-05
200 OK2016-04-01
200 OK2016-03-29
200 OK2016-03-28
200 OK2016-03-25
200 OK2016-03-23
200 OK2016-03-21
200 OK2016-03-18
200 OK2016-03-16
200 OK2016-03-14
200 OK2016-03-11
200 OK2016-03-09
200 OK2016-03-07
200 OK2016-03-04
200 OK2016-03-02
200 OK2016-02-29
200 OK2016-02-26
200 OK2016-02-24
200 OK2016-02-22
200 OK2016-02-19
200 OK2016-02-17
200 OK2016-02-15
200 OK2016-02-14
200 OK2016-02-12
200 OK2016-02-10
200 OK2016-02-08
200 OK2016-02-07
200 OK2016-02-05
200 OK2016-02-03
200 OK2016-02-01
200 OK2016-01-31
200 OK2016-01-29
200 OK2016-01-27
200 OK2016-01-25
200 OK2016-01-24
200 OK2016-01-22
200 OK2016-01-20
200 OK2016-01-18
200 OK2016-01-17
200 OK2016-01-15
200 OK2016-01-13
200 OK2016-01-11
200 OK2016-01-10
200 OK2016-01-08
200 OK2016-01-06
200 OK2016-01-04

Tags

DNA Metadata RNA
ENA metagenomic data metatranscriptome

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Jian Sang [2016-04-04]
    • Mengwei Li [2016-02-21]
    • Lin Liu [2016-01-29]
    • Lin Liu [2016-01-05]
    • Jian Sang [2015-12-07]
    • Jian Sang [2015-06-28]
    • Jian Sang [2015-06-27]
Stats