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Title: Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems

Abstract

To increase the utility of Gene Ontology (GO) annotations for interpretation of genome-wide experimental data, we have developed GO-CAM, a structured framework for linking multiple GO annotations into an integrated model of a biological system. Here, we expect that GO-CAM will enable new applications in pathway and network analysis, as well as improve standard GO annotations for traditional GO-based applications.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1];  [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [1]; ORCiD logo [5]; ORCiD logo [7]; ORCiD logo [5]; ORCiD logo [5]
  1. Univ. of Southern California, Los Angeles, CA (United States)
  2. The Jackson Lab., Bar Harbor, ME (United States)
  3. European Bioinformatics Inst. (EMBL-EBI), Cambridge (United Kingdom)
  4. California Inst. of Technology, Pasadena, CA (United States)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  6. Univ. of North Carolina, Chapel Hill, NC (United States)
  7. Swiss Inst. of Bioinformatics (SIB), Geneva (Switzerland)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Institutes of Health (NIH)
OSTI Identifier:
1581368
Grant/Contract Number:  
AC02-05CH11231; U41 HG002273
Resource Type:
Accepted Manuscript
Journal Name:
Nature Genetics
Additional Journal Information:
Journal Volume: 51; Journal Issue: 10; Journal ID: ISSN 1061-4036
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; computational biology and bioinformatics; genomic analysis

Citation Formats

Thomas, Paul D., Hill, David P., Mi, Huaiyu, Osumi-Sutherland, David, Van Auken, Kimberly, Carbon, Seth, Balhoff, James P., Albou, Laurent-Philippe, Good, Benjamin, Gaudet, Pascale, Lewis, Suzanna E., and Mungall, Christopher J. Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems. United States: N. p., 2019. Web. doi:10.1038/s41588-019-0500-1.
Thomas, Paul D., Hill, David P., Mi, Huaiyu, Osumi-Sutherland, David, Van Auken, Kimberly, Carbon, Seth, Balhoff, James P., Albou, Laurent-Philippe, Good, Benjamin, Gaudet, Pascale, Lewis, Suzanna E., & Mungall, Christopher J. Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems. United States. https://doi.org/10.1038/s41588-019-0500-1
Thomas, Paul D., Hill, David P., Mi, Huaiyu, Osumi-Sutherland, David, Van Auken, Kimberly, Carbon, Seth, Balhoff, James P., Albou, Laurent-Philippe, Good, Benjamin, Gaudet, Pascale, Lewis, Suzanna E., and Mungall, Christopher J. Mon . "Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems". United States. https://doi.org/10.1038/s41588-019-0500-1. https://www.osti.gov/servlets/purl/1581368.
@article{osti_1581368,
title = {Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems},
author = {Thomas, Paul D. and Hill, David P. and Mi, Huaiyu and Osumi-Sutherland, David and Van Auken, Kimberly and Carbon, Seth and Balhoff, James P. and Albou, Laurent-Philippe and Good, Benjamin and Gaudet, Pascale and Lewis, Suzanna E. and Mungall, Christopher J.},
abstractNote = {To increase the utility of Gene Ontology (GO) annotations for interpretation of genome-wide experimental data, we have developed GO-CAM, a structured framework for linking multiple GO annotations into an integrated model of a biological system. Here, we expect that GO-CAM will enable new applications in pathway and network analysis, as well as improve standard GO annotations for traditional GO-based applications.},
doi = {10.1038/s41588-019-0500-1},
journal = {Nature Genetics},
number = 10,
volume = 51,
place = {United States},
year = {Mon Sep 23 00:00:00 EDT 2019},
month = {Mon Sep 23 00:00:00 EDT 2019}
}

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Incremental data integration for tracking genotype-disease associations
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