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IPAVS: Integrated 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-c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245119/ https://www.ncbi.nlm.nih.gov/pubmed/22140115 http://dx.doi.org/10.1093/nar/gkr1208 |
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author | Sreenivasaiah, Pradeep Kumar Rani, Shilpa Cayetano, Joseph Arul, Novino Kim, Do Han |
author_facet | Sreenivasaiah, Pradeep Kumar Rani, Shilpa Cayetano, Joseph Arul, Novino Kim, Do Han |
author_sort | Sreenivasaiah, Pradeep Kumar |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3245119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32451192012-01-10 IPAVS: Integrated Pathway Resources, Analysis and Visualization System Sreenivasaiah, Pradeep Kumar Rani, Shilpa Cayetano, Joseph Arul, Novino Kim, Do Han Nucleic Acids Res Articles 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. Oxford University Press 2012-01 2011-12-02 /pmc/articles/PMC3245119/ /pubmed/22140115 http://dx.doi.org/10.1093/nar/gkr1208 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Sreenivasaiah, Pradeep Kumar Rani, Shilpa Cayetano, Joseph Arul, Novino Kim, Do Han IPAVS: Integrated Pathway Resources, Analysis and Visualization System |
title | IPAVS: Integrated Pathway Resources, Analysis and Visualization System |
title_full | IPAVS: Integrated Pathway Resources, Analysis and Visualization System |
title_fullStr | IPAVS: Integrated Pathway Resources, Analysis and Visualization System |
title_full_unstemmed | IPAVS: Integrated Pathway Resources, Analysis and Visualization System |
title_short | IPAVS: Integrated Pathway Resources, Analysis and Visualization System |
title_sort | ipavs: integrated pathway resources, analysis and visualization system |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245119/ https://www.ncbi.nlm.nih.gov/pubmed/22140115 http://dx.doi.org/10.1093/nar/gkr1208 |
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