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Dataset Information

Exploratory Gene Ontology Analysis with Interactive Visualization.


ABSTRACT: The Gene Ontology (GO) is a central resource for functional-genomics research. Scientists rely on the functional annotations in the GO for hypothesis generation and couple it with high-throughput biological data to enhance interpretation of results. At the same time, the sheer number of concepts (>30,000) and relationships (>70,000) presents a challenge: it can be difficult to draw a comprehensive picture of how certain concepts of interest might relate with the rest of the ontology structure. Here we present new visualization strategies to facilitate the exploration and use of the information in the GO. We rely on novel graphical display and software architecture that allow significant interaction. To illustrate the potential of our strategies, we provide examples from high-throughput gen

SUBMITTER: Zhu J 

PROVIDER: S-EPMC6534545 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature