Title | GIANT 2.0: genome-scale integrated analysis of gene networks in tissues. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Wong, AK, Krishnan, A, Troyanskaya, OG |
Journal | Nucleic Acids Res |
Volume | 46 |
Issue | W1 |
Pagination | W65-W70 |
Date Published | 2018 Jul 02 |
ISSN | 1362-4962 |
Keywords | Biomedical Research, Computational Biology, Gene Regulatory Networks, Genomics, Humans, Internet, Software |
Abstract | <p>GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. The precise actions of genes are frequently dependent on their tissue context, yet direct assay of tissue-specific protein function and interactions remains infeasible in many normal human tissues and cell-types. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses. Additionally, the NetWAS approach available through the server uses tissue-specific/cell-type networks predicted by GIANT2 to re-prioritize statistical associations from GWAS studies and identify disease-associated genes. GIANT2 predicts tissue-specific interactions by integrating diverse functional genomics data from now over 61 400 experiments for 283 diverse tissues and cell-types. GIANT2 does not require any registration or installation and is freely available for use at http://giant-v2.princeton.edu.</p> |
DOI | 10.1093/nar/gky408 |
Alternate Journal | Nucleic Acids Res |
PubMed ID | 29800226 |
PubMed Central ID | PMC6030827 |
Grant List | R01 GM071966 / GM / NIGMS NIH HHS / United States |