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:
-
- Univ. of Southern California, Los Angeles, CA (United States)
- The Jackson Lab., Bar Harbor, ME (United States)
- European Bioinformatics Inst. (EMBL-EBI), Cambridge (United Kingdom)
- California Inst. of Technology, Pasadena, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of North Carolina, Chapel Hill, NC (United States)
- 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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