G-Links: a gene-centric link acquisition service

Kazuki Oshita, Masaru Tomita, Kazuharu Arakawa
<span title="2014-11-19">2014</span> <i title="F1000 Research, Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lz7xw3k77zcg5f66jhfurufu64" style="color: black;">F1000Research</a> </i> &nbsp;
With the availability of numerous curated databases, researchers are now able to efficiently use the multitude of biological data by integrating these resources via hyperlinks and cross-references. A large proportion of bioinformatics research tasks, however, may include labor-intensive tasks such as fetching, parsing, and merging datasets and functional annotations from distributed multi-domain databases. This data integration issue is one of the key challenges in bioinformatics. We aim to
more &raquo; ... e this problem with a service named G-Links, 1) by gathering resource URI information from 130 databases and 30 web services in a gene-centric manner so that users can retrieve all available links about a given gene, 2) by providing RESTful API for easy retrieval of links including facet searching based on keywords and/or predicate types, and 3) by producing a variety of outputs as visual HTML page, tab-delimited text, and in Semantic Web formats such as Notation3 and RDF.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12688/f1000research.5754.1">doi:10.12688/f1000research.5754.1</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26673001">pmid:26673001</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4670005/">pmcid:PMC4670005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/md5fsjfmv5bh5jmgdg7xkmnjja">fatcat:md5fsjfmv5bh5jmgdg7xkmnjja</a> </span>
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