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IPAVS

Integrated Biological Pathway Resources, Analysis and Visualization System

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.

Type of project: academic

   

Involved Persons:

Project Leader: Pradeep Kumar SreenivasaIah (Gwangju Institute of Science and Technology)
Other involved People: Dr. Shilpa Rani Mr. Joseph C Ms. Novino A

Funding:

Is the project funded?yes
Funding source:Korea MEST NRF Grant (2011-0002144) and GIST Systems Biology Infrastructure Establishment Grant (2011).

Other information:

Duration of project:4 man years
Papers related to project:Title: IPAVS: Integrated Pathway Resources, Analysis and Visualization System Author(s): Sreenivasaiah, Pradeep Kumar; Rani, Shilpa; Cayetano, Joseph; et al. Source: Nucleic Acids Research Published: December 2, 2011 DOI: 10.1093/nar/gkr1208 / URL : http://nar.oxfordjournals.org/content/early/2011/12/02/nar.gkr1208.abstract

DIOC user:

Pradeep Kumar Sreenivasaiah (6 star_blue), Gwagju Institute of Science and Technology
Pradeep Kumar Sreenivasaiah's interests: clinical decision support, educational technology, bioinformatics, practice management, computer-based patient records, patients and computers/consumer health informatics, implementation/maintenance of IT, research methods

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