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Nucleic Acids Res. 2016 Jul 8;44(W1):W587-92. doi: 10.1093/nar/gkw289. Epub 2016 Apr 20.

GIANT API: an application programming interface for functional genomics.

Author information

1
Simons Center for Data Analysis, Simons Foundation, New York, NY 10010, USA.
2
Simons Center for Data Analysis, Simons Foundation, New York, NY 10010, USA Department of Computer Science, Princeton University, Princeton, NJ 08540, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08540, USA ogt@genomics.princeton.edu.

Abstract

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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