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Database Commons - Reactome

Reactome

Citations: 615

z-index 103.01

Short name Reactome
Full name A Curated Pathway Database
Description Reactome is an open-source, open access, manually curated and peer-reviewed pathway database
URL http://www.reactome.org/
Year founded 2010
Last update & version 2015-12-17    v55.0
Availability Free to all users
University/Institution hosted New York University
Address New York, NY 10016, USA
City New York
Province/State NY
Country/Region United States
Contact name Peter D'Eustachio
Contact email Peter.D'Eustachio@nyumc.org
Data type(s)
Major organism(s)
Keyword(s)
  • pathway
Publication(s)
  • The Reactome pathway Knowledgebase. [PMID: 26656494]

    Antonio Fabregat, Konstantinos Sidiropoulos, Phani Garapati, Marc Gillespie, Kerstin Hausmann, Robin Haw, Bijay Jassal, Steven Jupe, Florian Korninger, Sheldon McKay, Lisa Matthews, Bruce May, Marija Milacic, Karen Rothfels, Veronica Shamovsky, Marissa Webber, Joel Weiser, Mark Williams, Guanming Wu, Lincoln Stein, Henning Hermjakob, Peter D'Eustachio
    Nucleic acids research 2016:44(D1)
    301 Citations (Google Scholar as of 2016-01-01)

    Abstract: The Reactome Knowledgebase (www.reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations-an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression pattern surveys or somatic mutation catalogues from tumour cells. Over the last two years we redeveloped major components of the Reactome web interface to improve usability, responsiveness and data visualization. A new pathway diagram viewer provides a faster, clearer interface and smooth zooming from the entire reaction network to the details of individual reactions. Tool performance for analysis of user datasets has been substantially improved, now generating detailed results for genome-wide expression datasets within seconds. The analysis module can now be accessed through a RESTFul interface, facilitating its inclusion in third party applications. A new overview module allows the visualization of analysis results on a genome-wide Reactome pathway hierarchy using a single screen page. The search interface now provides auto-completion as well as a faceted search to narrow result lists efficiently. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  • The Reactome pathway knowledgebase. [PMID: 24243840]

    David Croft, Antonio Fabregat Mundo, Robin Haw, Marija Milacic, Joel Weiser, Guanming Wu, Michael Caudy, Phani Garapati, Marc Gillespie, Maulik R Kamdar, Bijay Jassal, Steven Jupe, Lisa Matthews, Bruce May, Stanislav Palatnik, Karen Rothfels, Veronica Shamovsky, Heeyeon Song, Mark Williams, Ewan Birney, Henning Hermjakob, Lincoln Stein, Peter D'Eustachio
    Nucleic acids research 2014:42(Database issue)
    314 Citations (Google Scholar as of 2016-01-20)

    Abstract: Reactome (http://www.reactome.org) is a manually curated open-source open-data resource of human pathways and reactions. The current version 46 describes 7088 human proteins (34% of the predicted human proteome), participating in 6744 reactions based on data extracted from 15 107 research publications with PubMed links. The Reactome Web site and analysis tool set have been completely redesigned to increase speed, flexibility and user friendliness. The data model has been extended to support annotation of disease processes due to infectious agents and to mutation.

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Accessibility

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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
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200 OK2016-12-30
200 OK2016-12-27
200 OK2016-12-23
200 OK2016-12-20
200 OK2016-12-16
200 OK2016-12-13
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200 OK2016-12-06
200 OK2016-12-02
200 OK2016-11-29
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200 OK2016-10-14
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200 OK2016-07-08
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200 OK2016-06-21
200 OK2016-06-17
200 OK2016-06-14
200 OK2016-06-10
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200 OK2016-05-10
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200 OK2016-04-29
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200 OK2016-04-19
200 OK2016-04-15
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200 OK2016-04-08
200 OK2016-04-05
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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

Metabolic and Signaling Pathway
Arabidopsis thaliana Bos taurus Caenorhabditis elegans Danio rerio Drosophila melanogaster Homo sapiens Mus musculus Oryza sativa Rattus norvegicus Saccharomyces cerevisiae
pathway

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Lin Xia [2016-04-01]
    • Mengwei Li [2016-02-19]
    • Lin Liu [2016-02-08]
    • Lin Liu [2016-01-20]
    • Lin Liu [2016-01-03]
    • Lin Liu [2016-01-01]
    • Lin Xia [2015-11-20]
    • Lin Xia [2015-06-26]
Stats