G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]

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 a...

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Main Authors: Kazuki Oshita, Masaru Tomita, Kazuharu Arakawa
Format: Article
Language:English
Published: F1000 Research Ltd 2015-11-01
Series:F1000Research
Subjects:
Online Access:http://f1000research.com/articles/3-285/v2
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spelling doaj-6e06f198f9854b7d80beef475ca84fbe2020-11-25T03:43:49ZengF1000 Research LtdF1000Research2046-14022015-11-01310.12688/f1000research.5754.26534G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]Kazuki Oshita0Masaru Tomita1Kazuharu Arakawa2Institute for Advanced Biosciences, Keio University, Fujisawa, 252-0882, JapanInstitute for Advanced Biosciences, Keio University, Fujisawa, 252-0882, JapanInstitute for Advanced Biosciences, Keio University, Fujisawa, 252-0882, JapanWith 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 provide an identifier conversion and data aggregation system as a part of solution to solve 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. G-Links as well as other relevant documentation are available at http://link.g-language.org/http://f1000research.com/articles/3-285/v2BioinformaticsData Sharing
collection DOAJ
language English
format Article
sources DOAJ
author Kazuki Oshita
Masaru Tomita
Kazuharu Arakawa
spellingShingle Kazuki Oshita
Masaru Tomita
Kazuharu Arakawa
G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]
F1000Research
Bioinformatics
Data Sharing
author_facet Kazuki Oshita
Masaru Tomita
Kazuharu Arakawa
author_sort Kazuki Oshita
title G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]
title_short G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]
title_full G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]
title_fullStr G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]
title_full_unstemmed G-Links: a gene-centric link acquisition service [version 2; referees: 2 approved]
title_sort g-links: a gene-centric link acquisition service [version 2; referees: 2 approved]
publisher F1000 Research Ltd
series F1000Research
issn 2046-1402
publishDate 2015-11-01
description 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 provide an identifier conversion and data aggregation system as a part of solution to solve 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. G-Links as well as other relevant documentation are available at http://link.g-language.org/
topic Bioinformatics
Data Sharing
url http://f1000research.com/articles/3-285/v2
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