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GIANT API: an application programming interface for functional genomics
GIANT API provides biomedical researchers programmatic access to tissue-specific and global networks in humans and model organisms, and associated tools, which includes functional re-prioritization of existing genome-wide association study (GWAS) data. Using tissue-specific interaction networks, res...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987882/ https://www.ncbi.nlm.nih.gov/pubmed/27098035 http://dx.doi.org/10.1093/nar/gkw289 |
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author | Roberts, Andrew M. Wong, Aaron K. Fisk, Ian Troyanskaya, Olga G. |
author_facet | Roberts, Andrew M. Wong, Aaron K. Fisk, Ian Troyanskaya, Olga G. |
author_sort | Roberts, Andrew M. |
collection | PubMed |
description | GIANT API provides biomedical researchers programmatic access to tissue-specific and global networks in humans and model organisms, and associated tools, which includes functional re-prioritization of existing genome-wide association study (GWAS) data. Using tissue-specific interaction networks, researchers are able to predict relationships between genes specific to a tissue or cell lineage, identify the changing roles of genes across tissues and uncover disease-gene associations. Additionally, GIANT API enables computational tools like NetWAS, which leverages tissue-specific networks for re-prioritization of GWAS results. The web services covered by the API include 144 tissue-specific functional gene networks in human, global functional networks for human and six common model organisms and the NetWAS method. GIANT API conforms to the REST architecture, which makes it stateless, cacheable and highly scalable. It can be used by a diverse range of clients including web browsers, command terminals, programming languages and standalone apps for data analysis and visualization. The API is freely available for use at http://giant-api.princeton.edu. |
format | Online Article Text |
id | pubmed-4987882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49878822016-08-22 GIANT API: an application programming interface for functional genomics Roberts, Andrew M. Wong, Aaron K. Fisk, Ian Troyanskaya, Olga G. Nucleic Acids Res Web Server issue GIANT API provides biomedical researchers programmatic access to tissue-specific and global networks in humans and model organisms, and associated tools, which includes functional re-prioritization of existing genome-wide association study (GWAS) data. Using tissue-specific interaction networks, researchers are able to predict relationships between genes specific to a tissue or cell lineage, identify the changing roles of genes across tissues and uncover disease-gene associations. Additionally, GIANT API enables computational tools like NetWAS, which leverages tissue-specific networks for re-prioritization of GWAS results. The web services covered by the API include 144 tissue-specific functional gene networks in human, global functional networks for human and six common model organisms and the NetWAS method. GIANT API conforms to the REST architecture, which makes it stateless, cacheable and highly scalable. It can be used by a diverse range of clients including web browsers, command terminals, programming languages and standalone apps for data analysis and visualization. The API is freely available for use at http://giant-api.princeton.edu. Oxford University Press 2016-07-08 2016-04-20 /pmc/articles/PMC4987882/ /pubmed/27098035 http://dx.doi.org/10.1093/nar/gkw289 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server issue Roberts, Andrew M. Wong, Aaron K. Fisk, Ian Troyanskaya, Olga G. GIANT API: an application programming interface for functional genomics |
title | GIANT API: an application programming interface for functional genomics |
title_full | GIANT API: an application programming interface for functional genomics |
title_fullStr | GIANT API: an application programming interface for functional genomics |
title_full_unstemmed | GIANT API: an application programming interface for functional genomics |
title_short | GIANT API: an application programming interface for functional genomics |
title_sort | giant api: an application programming interface for functional genomics |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987882/ https://www.ncbi.nlm.nih.gov/pubmed/27098035 http://dx.doi.org/10.1093/nar/gkw289 |
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