PID: the Pathway Interaction Database
Top Cited Papers
Open Access
- 2 October 2008
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 37 (suppl_1) , D674-D679
- https://doi.org/10.1093/nar/gkn653
Abstract
The Pathway Interaction Database (PID, http://pid.nci.nih.gov) is a freely available collection of curated and peer-reviewed pathways composed of human molecular signaling and regulatory events and key cellular processes. Created in a collaboration between the US National Cancer Institute and Nature Publishing Group, the database serves as a research tool for the cancer research community and others interested in cellular pathways, such as neuroscientists, developmental biologists and immunologists. PID offers a range of search features to facilitate pathway exploration. Users can browse the predefined set of pathways or create interaction network maps centered on a single molecule or cellular process of interest. In addition, the batch query tool allows users to upload long list(s) of molecules, such as those derived from microarray experiments, and either overlay these molecules onto predefined pathways or visualize the complete molecular connectivity map. Users can also download molecule lists, citation lists and complete database content in extensible markup language (XML) and Biological Pathways Exchange (BioPAX) Level 2 format. The database is updated with new pathway content every month and supplemented by specially commissioned articles on the practical uses of other relevant online tools.Keywords
This publication has 12 references indexed in Scilit:
- caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical ResearchJournal of the American Medical Informatics Association, 2008
- KEGG for linking genomes to life and the environmentNucleic Acids Research, 2007
- The BioGRID Interaction Database: 2008 updateNucleic Acids Research, 2007
- Integration of biological networks and gene expression data using CytoscapeNature Protocols, 2007
- Reactome: a knowledge base of biologic pathways and processesGenome Biology, 2007
- Patterns of somatic mutation in human cancer genomesNature, 2007
- MINT: the Molecular INTeraction databaseNucleic Acids Research, 2006
- Computational prediction of human metabolic pathways from the complete human genomeGenome Biology, 2004
- Overview and utilization of the NCI ThesaurusComparative and Functional Genomics, 2004
- caCORE: A common infrastructure for cancer informaticsBioinformatics, 2003