title: IPAVS: Integrated Pathway Resources, Analysis and Visualization System.
abstract: Integrated Pathway Resources, Analysis and Visualization System (iPAVS) is an integrated biological pathway database designed to support pathway discovery in the fields of proteomics, transcriptomics, metabolomics and systems biology. The key goal of IPAVS is to provide biologists access to expert-curated pathways from experimental data belonging to specific biological contexts related to cell types, tissues, organs and diseases. IPAVS currently integrates over 500 human pathways (consisting of 24, 574 interactions) that include metabolic-, signaling- and disease-related pathways, drug-action pathways and several large process maps collated from other pathway resources. IPAVS web interface allows biologists to browse and search pathway resources and provides tools for data import, management, visualization and analysis to support the interpretation of biological data in light of cellular processes. Systems Biology Graphical Notations (SBGN) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway notations are used for the visual display of pathway information. The integrated datasets in IPAVS are made available in several standard data formats that can be downloaded. IPAVS is available at: http://ipavs.cidms.org.
authors.affiliation: School of Life Sciences and Systems Biology Research Center, Gwangju Institute of Science and Technology, Gwangju 500-712, Korea.
authors.forename: Pradeep Kumar
authors.initials: PK
authors.lastname: Sreenivasaiah
authors.forename: Shilpa
authors.initials: S
authors.lastname: Rani
authors.forename: Joseph
authors.initials: J
authors.lastname: Cayetano
authors.forename: Novino
authors.initials: N
authors.lastname: Arul
authors.forename: Do Han
authors.initials: DH
authors.lastname: Kim
mesh_terms: D003196:Computer Graphics; D016208:Databases, Factual; D004194:Disease; D006801:Humans; D020407:Internet; D053858:Metabolic Networks and Pathways; D000069437:Pharmacological Phenomena; D015398:Signal Transduction; D049490:Systems Biology; D018511:Systems Integration