ArticleNucleic acids research2018
GIANT 2.0: genome-scale integrated analysis of gene networks in tissues.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
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- A module-based approach for post-omics, post-GWAS network-based gene classification.Bioinformatics (Oxford, England) · 2026Article
- Single-cell profiling reveals epithelial and immune responses in BK polyomavirus-infected human kidney biopsies.JCI insight · 2026Article
- Neutrophil-derived extracellular vesicles in the plasma of alpha-1 antitrypsin deficient individuals reveal pro-inflammatory metabolic and transcriptomic signatures.Extracellular vesicle · 2025Article
- Evaluation and Aggregation of Active Module Identification Algorithms.bioRxiv : the preprint server for biology · 2025Article
- Sequestration of ribosome biogenesis factors in HSV-1 nuclear aggregates revealed by spatially resolved thermal profiling.Science advances · 2025Article
- EGR3 Promotes Glioblastoma Cell Growth with Upregulation of MYC and CDK1.International journal of molecular sciences · 2025Article
- Candidate Key Proteins in Tinnitus-A Bioinformatic Study of Synaptic Transmission in the Inferior Colliculus.International journal of molecular sciences · 2025Article
- GeneCOCOA: Detecting context-specific functions of individual genes using co-expression data.PLoS computational biology · 2025Article
- BACH1 as a key driver in rheumatoid arthritis fibroblast-like synoviocytes identified through gene network analysis.Life science alliance · 2025Article
- Maternal genetic variants in kinesin motor domains prematurely increase egg aneuploidy.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- MDVarP: modifier ~ disease-causing variant pairs predictor.BioData mining · 2024Article
- Tapioca: a platform for predicting de novo protein-protein interactions in dynamic contexts.Nature methods · 2024Article
- An atlas of cell-type-specific interactome networks across 44 human tumor types.Genome medicine · 2024Article
- Network-based cytokine inference implicates Oncostatin M as a driver of an inflammation phenotype in knee osteoarthritis.Aging cell · 2024Article
- Cell-specific gene networks and drivers in rheumatoid arthritis synovial tissues.Frontiers in immunology · 2024Article
- Potential Key Proteins, Molecular Networks, and Pathways in Perinatal Hypoxia.Neurotoxicity research · 2023Article
- Candidate Key Proteins in Tinnitus: A Bioinformatic Study of Synaptic Transmission in Spiral Ganglion Neurons.Cellular and molecular neurobiology · 2023Article
- High genetic heterogeneity of leukodystrophies in Iranian children: the first report of Iranian Leukodystrophy Registry.Neurogenetics · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.