Nucleic Acids Research · 2018 · 98 citations · 30 references
Life SciencesBioinformaticsSystems BiologyComputational BiologyGenomicsNetwork BiologyFunctional GenomicsGenomic Data IntegrationMolecular Interaction NetworksNetwork IntegrationProtein-protein Interaction AnalysisProtein-protein Interaction NetworksDisease AssociationsInteractive Network ExplorationTissue-specific Interaction Networks
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.
30
Gene Ontology: tool for the unification of biology
Michael Ashburner, Catherine A. Ball, Judith A. Blake et al. · Nature Genetics · 2000 · 44.6K citations · Full text
NCBI GEO: archive for functional genomics data sets—update
Tanya Barrett, Stephen E. Wilhite, Pierre Ledoux et al. · Nucleic Acids Research · 2012 · 10.8K citations · Full text
The Genotype-Tissue Expression (GTEx) project.
Mutation in the α-Synuclein Gene Identified in Families with Parkinson's Disease
Mihael H. Polymeropoulos, Christian Lavedan, Elisabeth Leroy et al. · Science · 1997 · 8.2K citations
KEGG as a reference resource for gene and protein annotation
Minoru Kanehisa, Yoko Sato, Masayuki Kawashima et al. · Nucleic Acids Research · 2015 · 7.9K citations · Full text