Reactome: An Open Knowledgebase of Human Pathways

Information

  • Research Project
  • 8473164
  • ApplicationId
    8473164
  • Core Project Number
    U41HG003751
  • Full Project Number
    4U41HG003751-06
  • Serial Number
    003751
  • FOA Number
    PAR-11-095
  • Sub Project Id
  • Project Start Date
    7/1/2005 - 19 years ago
  • Project End Date
    2/28/2017 - 7 years ago
  • Program Officer Name
    BONAZZI, VIVIEN
  • Budget Start Date
    3/1/2013 - 11 years ago
  • Budget End Date
    2/28/2014 - 10 years ago
  • Fiscal Year
    2013
  • Support Year
    06
  • Suffix
  • Award Notice Date
    5/14/2013 - 11 years ago

Reactome: An Open Knowledgebase of Human Pathways

DESCRIPTION (provided by applicant): We seek renewal of the core operating funding for the Reactome Knowledgebase of Human Biological Pathways and Processes. Reactome is a curated knowledgebase available online as an open access resource that can be freely used and redistributed by all members of the biological research community. It is used by geneticists, genomics researchers, clinical researchers and molecular biologists to interpret the results of high-throughput experimental studies, by bioinformaticians seeking to develop novel algorithms for mining knowledge from genomics studies, and by systems biologists building predictive models of normal and abnormal pathways. Our curational system draws heavily on the expertise of independent investigators within the community who author precise machine-readable descriptions of human biological pathways under the guidance of a staff of dedicated curators. Each pathway is extensively checked and peer-reviewed prior to publication to ensure its factual accuracy and compliance with the data model. A system of evidence tracking ensures that all assertions are backed up by the primary literature, and that human molecular events inferred from orthologous ones in animal models have an auditable inference chain. Curated pathways described by Reactome currently cover roughly one quarter of the translated portion of the genome. We also offer a network of functional interactions (FIs) predicted by a conservative machine-learning approach, that covers an additional quarter of the translated genome, for a combined coverage of roughly 50% of the known genome. Over the next five years, we seek to (1) increase the number of curated proteins and other functional entities to at least 10,500; (2) to supplement normal pathways with variant reactions for 1200 genes representing disease states; (3) increase the size of the Reactome Fl network to 15,000 molecules; and (4) enhance the web site and other resources to meet the needs of a growing and diverse user community.

IC Name
NATIONAL HUMAN GENOME RESEARCH INSTITUTE
  • Activity
    U41
  • Administering IC
    HG
  • Application Type
    4
  • Direct Cost Amount
    1266953
  • Indirect Cost Amount
    101356
  • Total Cost
    1216983
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    172
  • Ed Inst. Type
  • Funding ICs
    NHGRI:1216983\
  • Funding Mechanism
    RESEARCH CENTERS
  • Study Section
    ZHG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ONTARIO INSTITUTE FOR CANCER RESEARCH
  • Organization Department
  • Organization DUNS
    205540219
  • Organization City
    TORONTO
  • Organization State
    ON
  • Organization Country
    CANADA
  • Organization Zip Code
    M5G 0A3
  • Organization District
    CANADA