GIANT API: an application programming interface for functional genomics

Andrew M. Roberts, Aaron K. Wong, Ian Fisk, Olga G. Troyanskaya

Research output: Contribution to journalArticle

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)W587-W592
JournalNucleic acids research
Volume44
Issue numberW1
DOIs
StatePublished - Jul 8 2016

All Science Journal Classification (ASJC) codes

  • Genetics

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