Ontology-based annotations and semantic relations in large-scale (epi)genomics data.

ABSTRACT: Public repositories of large-scale biological data currently contain hundreds of thousands of experiments, including high-throughput sequencing and microarray data. The potential of using these resources to assemble data sets combining samples previously not associated is vastly unexplored. This requires the ability to associate samples with clear annotations and to relate experiments matched with different annotation terms. In this study, we illustrate the semantic annotation of Gene Expression Omnibus samples metadata using concepts from biomedical ontologies, focusing on the association of thousands of chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) samples with a given target, tissue and disease state. Next, we demonstrate the feasibility of quantitative

SUBMITTER: Galeota E 

PROVIDER: S-EPMC5429001 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature