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The UCSC Interaction Browser: multidimensional data views in pathway context
High-throughput data sets such as genome-wide protein–protein interactions, protein–DNA interactions and gene expression data have been published for several model systems, especially for human cancer samples. The University of California, Santa Cruz (UCSC) Interaction Browser (http://sysbio.soe.ucs...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692096/ https://www.ncbi.nlm.nih.gov/pubmed/23748957 http://dx.doi.org/10.1093/nar/gkt473 |
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author | Wong, Christopher K. Vaske, Charles J. Ng, Sam Sanborn, J. Zachary Benz, Stephen C. Haussler, David Stuart, Joshua M. |
author_facet | Wong, Christopher K. Vaske, Charles J. Ng, Sam Sanborn, J. Zachary Benz, Stephen C. Haussler, David Stuart, Joshua M. |
author_sort | Wong, Christopher K. |
collection | PubMed |
description | High-throughput data sets such as genome-wide protein–protein interactions, protein–DNA interactions and gene expression data have been published for several model systems, especially for human cancer samples. The University of California, Santa Cruz (UCSC) Interaction Browser (http://sysbio.soe.ucsc.edu/nets) is an online tool for biologists to view high-throughput data sets simultaneously for the analysis of functional relationships between biological entities. Users can access several public interaction networks and functional genomics data sets through the portal as well as upload their own networks and data sets for analysis. Users can navigate through correlative relationships for focused sets of genes belonging to biological pathways using a standard web browser. Using a new visual modality called the CircleMap, multiple ‘omics’ data sets can be viewed simultaneously within the context of curated, predicted, directed and undirected regulatory interactions. The Interaction Browser provides an integrative viewing of biological networks based on the consensus of many observations about genes and their products, which may provide new insights about normal and disease processes not obvious from any isolated data set. |
format | Online Article Text |
id | pubmed-3692096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36920962013-06-25 The UCSC Interaction Browser: multidimensional data views in pathway context Wong, Christopher K. Vaske, Charles J. Ng, Sam Sanborn, J. Zachary Benz, Stephen C. Haussler, David Stuart, Joshua M. Nucleic Acids Res Articles High-throughput data sets such as genome-wide protein–protein interactions, protein–DNA interactions and gene expression data have been published for several model systems, especially for human cancer samples. The University of California, Santa Cruz (UCSC) Interaction Browser (http://sysbio.soe.ucsc.edu/nets) is an online tool for biologists to view high-throughput data sets simultaneously for the analysis of functional relationships between biological entities. Users can access several public interaction networks and functional genomics data sets through the portal as well as upload their own networks and data sets for analysis. Users can navigate through correlative relationships for focused sets of genes belonging to biological pathways using a standard web browser. Using a new visual modality called the CircleMap, multiple ‘omics’ data sets can be viewed simultaneously within the context of curated, predicted, directed and undirected regulatory interactions. The Interaction Browser provides an integrative viewing of biological networks based on the consensus of many observations about genes and their products, which may provide new insights about normal and disease processes not obvious from any isolated data set. Oxford University Press 2013-07 2013-06-08 /pmc/articles/PMC3692096/ /pubmed/23748957 http://dx.doi.org/10.1093/nar/gkt473 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Wong, Christopher K. Vaske, Charles J. Ng, Sam Sanborn, J. Zachary Benz, Stephen C. Haussler, David Stuart, Joshua M. The UCSC Interaction Browser: multidimensional data views in pathway context |
title | The UCSC Interaction Browser: multidimensional data views in pathway context |
title_full | The UCSC Interaction Browser: multidimensional data views in pathway context |
title_fullStr | The UCSC Interaction Browser: multidimensional data views in pathway context |
title_full_unstemmed | The UCSC Interaction Browser: multidimensional data views in pathway context |
title_short | The UCSC Interaction Browser: multidimensional data views in pathway context |
title_sort | ucsc interaction browser: multidimensional data views in pathway context |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692096/ https://www.ncbi.nlm.nih.gov/pubmed/23748957 http://dx.doi.org/10.1093/nar/gkt473 |
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