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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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 |
work_keys_str_mv |
AT kazukioshita glinksagenecentriclinkacquisitionserviceversion2referees2approved AT masarutomita glinksagenecentriclinkacquisitionserviceversion2referees2approved AT kazuharuarakawa glinksagenecentriclinkacquisitionserviceversion2referees2approved |
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