Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems
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. We expect that GO-CAM will enable new applications in p...
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| Veröffentlicht in: | Nature genetics 2019-10, Vol.51 (10), p.1429-1433 |
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| container_title | Nature genetics |
| container_volume | 51 |
| creator | 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. |
| description | 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. 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_str_mv | 10.1038/s41588-019-0500-1 |
| format | Article |
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(LBNL), Berkeley, CA (United States)</creatorcontrib><title>Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems</title><title>Nature genetics</title><addtitle>Nat Genet</addtitle><addtitle>Nat Genet</addtitle><description>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. 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.</description><subject>631/114</subject><subject>631/1647/2217</subject><subject>Acids</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Animal Genetics and Genomics</subject><subject>Annotations</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Bioinformatics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer Research</subject><subject>Combinatorial analysis</subject><subject>Comment</subject><subject>Computational Biology - methods</subject><subject>computational biology and bioinformatics</subject><subject>Computer-aided manufacturing</subject><subject>Databases, Genetic</subject><subject>Gene Function</subject><subject>Gene Ontology</subject><subject>Genes</subject><subject>Genomes</subject><subject>genomic analysis</subject><subject>Genomics</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Models, Biological</subject><subject>Molecular Sequence Annotation</subject><subject>Ontology</subject><subject>Phenotype</subject><subject>Scientific papers</subject><subject>Signal Transduction</subject><subject>Signaling</subject><subject>Software</subject><subject>Web Ontology Language-OWL</subject><subject>Wnt 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| ispartof | Nature genetics, 2019-10, Vol.51 (10), p.1429-1433 |
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| language | eng |
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| source | MEDLINE; Nature; Alma/SFX Local Collection |
| subjects | 631/114 631/1647/2217 Acids Agriculture Analysis Animal Genetics and Genomics Annotations BASIC BIOLOGICAL SCIENCES Bioinformatics Biomedical and Life Sciences Biomedicine Cancer Research Combinatorial analysis Comment Computational Biology - methods computational biology and bioinformatics Computer-aided manufacturing Databases, Genetic Gene Function Gene Ontology Genes Genomes genomic analysis Genomics Human Genetics Humans Models, Biological Molecular Sequence Annotation Ontology Phenotype Scientific papers Signal Transduction Signaling Software Web Ontology Language-OWL Wnt protein |
| title | Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems |
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