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

Paul D Thomas,David P Hill,Laurent-Philippe Albou,James P Balhoff,Huaiyu Mi,Seth Carbon,Kimberly Van Auken,Benjamin Good,Christopher J Mungall,Pascale Gaudet,David Osumi-Sutherland,Suzanna E Lewis

doi:10.1038/s41588-019-0500-1

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

Paul D Thomas, David P Hill + Show 10 more

Open Access

https://doi.org/10.1038/s41588-019-0500-1

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Journal: Nature genetics	Publication Date: Sep 23, 2019
Citations: 82

Affiliation: University of Southern California, Jackson Laboratory, University of North Carolina at Chapel Hill, Renaissance Computing Institute, Lawrence Berkeley National Laboratory, California Institute of Technology, SIB Swiss Institute of Bioinformatics, European Bioinformatics Institute, Wellcome Trust

#Gene Ontology Annotations #Gene Ontology + Show 8 more

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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. 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.

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