Generated by GPT-5-mini| NDEx | |
|---|---|
| Name | NDEx |
| Type | biological database |
| Country | United States |
| Owner | Center for Cancer Systems Biology |
| Launched | 2013 |
NDEx
NDEx is a network-oriented biological data repository and platform designed for sharing, publishing, and collaborative curation of molecular interaction networks. It supports structured exchange and visualization of pathway, protein–protein interaction, and signaling networks, enabling researchers from institutions such as the Broad Institute, Harvard University, Stanford University, Massachusetts Institute of Technology, and University of California, San Diego to disseminate curated models linked to resources like UniProt, Gene Ontology, Reactome, and PhosphoSitePlus. The platform has been used in projects connected to initiatives including the National Institutes of Health, National Cancer Institute, Human Cell Atlas, and consortia such as the Cancer Moonshot.
NDEx functions as a repository and collaborative workspace for biological networks encompassing protein interactions, signaling cascades, metabolic maps, and disease modules. Users can store networks annotated with metadata referencing sources such as PubMed, Nature Reviews Cancer, Cell, Science, and PNAS, while linking network entities to databases like Ensembl, RefSeq, KEGG, and BioGRID. The platform emphasizes reproducibility and provenance, accommodating identifiers and citations from repositories including GenBank, ArrayExpress, The Cancer Genome Atlas, and Sequence Read Archive.
Development originated at research centers with ties to the University of California, San Diego and the Institute for Systems Biology, and progressed through collaborations involving the Center for Cancer Systems Biology and the Broad Institute. NDEx development milestones paralleled large-scale efforts such as the International Cancer Genome Consortium and the ENCODE project, and received funding or support from agencies like the National Institutes of Health and programs tied to the National Cancer Institute. Early releases addressed needs identified by consortia including The Cancer Genome Atlas and workshops held at institutions like Cold Spring Harbor Laboratory and the Wellcome Trust Sanger Institute.
The NDEx data model supports node–edge representations annotated with controlled identifiers drawn from UniProt, HGNC, Entrez Gene, and ENSEMBL. Networks can embed provenance records referencing publications in Nature, Cell Reports, Genome Research, and Bioinformatics', and link to ontologies such as the Gene Ontology and Sequence Ontology. Features include versioning, access control, and structured properties compatible with formats used by Cytoscape, SBML, and BioPAX. Analytical metadata can reference algorithms and tools from groups associated with Stanford University, Massachusetts Institute of Technology, and the European Bioinformatics Institute.
The platform provides a web-based visualization environment interoperable with desktop and web clients like Cytoscape, R, Python, and workflow managers such as Galaxy. Interactive viewers support layout engines inspired by projects at UC San Diego, visualization paradigms used in Nature Methods publications, and export formats compatible with GraphML and SVG. Programmatic access is facilitated via RESTful APIs that enable integration with pipelines developed by teams at the Broad Institute, Harvard Medical School, and the European Molecular Biology Laboratory.
NDEx interoperates with community resources and standards including BioPAX, SBML, SIF, and identifiers from UniProt and HGNC. It integrates into analysis ecosystems used by researchers affiliated with The Jackson Laboratory, Dana-Farber Cancer Institute, Sanger Institute, and the European Bioinformatics Institute, enabling cross-referencing with repositories such as KEGG, Reactome, BioGRID, and IMEx. This facilitates workflows using platforms like Cytoscape.js, Jupyter Notebook, Bioconductor, and cloud infrastructures from providers such as Amazon Web Services and projects like Globus.
Researchers have applied the platform to cancer pathway curation in studies linked to the National Cancer Institute and Cancer Genome Atlas, to signaling network reconstruction in work from Harvard Medical School and Stanford University, and to drug–target network exploration relevant to programs at Pfizer, Novartis, and Genentech. Translational use cases include biomarker module identification cited in journals like Nature Biotechnology and cohort stratification workflows connecting to datasets from UK Biobank and dbGaP. Educational and community curation activities have occurred in venues such as EMBO workshops and courses at the European Bioinformatics Institute.
NDEx governance blends institutional stewardship from research groups at UC San Diego and the Institute for Systems Biology with community-driven policies informed by standards-setting organizations like the Global Alliance for Genomics and Health and the Research Data Alliance. Access controls allow public, private, and collaborative sharing modes aligned with licenses and data-use agreements used by repositories such as GenBank, Dryad, and Zenodo. Security practices reference guidelines from agencies including the National Institutes of Health and standards bodies such as ISO to manage controlled-access datasets and provenance auditing.
Category:Biological databases Category:Bioinformatics