About GIANT
GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues) was created by the Laboratory for Bioinformatics and Functional Genomics in the Lewis-Sigler Institute for Integrative Genomics at Princeton University.
For a full list of the datasets integrated in a GIANT tissue network, see data.
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Tissue-specific Interactions
GIANT leverages a tissue-specific gold standard to automatically up-weight datasets relevant to a tissue from a large data compendium of diverse tissues and cell-types. The resulting functional networks accurately capture tissue-specific functional interactions.
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Multi-tissue Analysis
Beyond questions pertaining to the role of single genes in single tissues, GIANT also enables examination of changes in gene function across tissues on a broad scale. Users can compare a gene's functional interaction in different tissues by selecting the relevant tissues in the dropdown menu.
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NetWAS Analysis
GIANT can effectively reprioritize functional associations from a genome-wide association study (GWAS) and potentially identify additional disease-associated genes. The approach, named NetWAS, can be applied to any GWAS study, and does not require that the phenotype or disease have any known associated genes.