TY - JOUR
T1 - GIANT API
T2 - An application programming interface for functional genomics
AU - Roberts, Andrew M.
AU - Wong, Aaron K.
AU - Fisk, Ian
AU - Troyanskaya, Olga G.
N1 - Funding Information:
National Science Foundation (NSF) career award [DBI-0546275]; National Institutes of Health [R01 GM071966, R01 HG005998, T32 HG003284]; National Institute of General Medical Sciences (NIGMS) Center of Excellence [P50 GM071508]; Funding for open access charge: Simons Foundation. Conflict of interest statement. None declared.
Publisher Copyright:
© The Author(s) 2016.
PY - 2016/7/8
Y1 - 2016/7/8
N2 - 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.
AB - 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.
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U2 - 10.1093/NAR/GKW289
DO - 10.1093/NAR/GKW289
M3 - Article
C2 - 27098035
AN - SCOPUS:85063641089
SN - 0305-1048
VL - 44
SP - W587-W592
JO - Nucleic acids research
JF - Nucleic acids research
IS - 1
ER -