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AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context
Summary: We present a tool designed for visualization of large-scale genetic and genomic data exemplified by results from genome-wide association studies. This software provides an integrated framework to facilitate the interpretation of SNP association studies in genomic context. Gene annotations c...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2647839/ https://www.ncbi.nlm.nih.gov/pubmed/19168913 http://dx.doi.org/10.1093/bioinformatics/btp017 |
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author | Martin, Olivier Valsesia, Armand Telenti, Amalio Xenarios, Ioannis Stevenson, Brian J. |
author_facet | Martin, Olivier Valsesia, Armand Telenti, Amalio Xenarios, Ioannis Stevenson, Brian J. |
author_sort | Martin, Olivier |
collection | PubMed |
description | Summary: We present a tool designed for visualization of large-scale genetic and genomic data exemplified by results from genome-wide association studies. This software provides an integrated framework to facilitate the interpretation of SNP association studies in genomic context. Gene annotations can be retrieved from Ensembl, linkage disequilibrium data downloaded from HapMap and custom data imported in BED or WIG format. AssociationViewer integrates functionalities that enable the aggregation or intersection of data tracks. It implements an efficient cache system and allows the display of several, very large-scale genomic datasets. Availability: The Java code for AssociationViewer is distributed under the GNU General Public Licence and has been tested on Microsoft Windows XP, MacOSX and GNU/Linux operating systems. It is available from the SourceForge repository. This also includes Java webstart, documentation and example datafiles. Contact: brian.stevenson@licr.org Supplementary information: Supplementary data are available at http://sourceforge.net/projects/associationview/ online. |
format | Text |
id | pubmed-2647839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26478392009-04-02 AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context Martin, Olivier Valsesia, Armand Telenti, Amalio Xenarios, Ioannis Stevenson, Brian J. Bioinformatics Applications Note Summary: We present a tool designed for visualization of large-scale genetic and genomic data exemplified by results from genome-wide association studies. This software provides an integrated framework to facilitate the interpretation of SNP association studies in genomic context. Gene annotations can be retrieved from Ensembl, linkage disequilibrium data downloaded from HapMap and custom data imported in BED or WIG format. AssociationViewer integrates functionalities that enable the aggregation or intersection of data tracks. It implements an efficient cache system and allows the display of several, very large-scale genomic datasets. Availability: The Java code for AssociationViewer is distributed under the GNU General Public Licence and has been tested on Microsoft Windows XP, MacOSX and GNU/Linux operating systems. It is available from the SourceForge repository. This also includes Java webstart, documentation and example datafiles. Contact: brian.stevenson@licr.org Supplementary information: Supplementary data are available at http://sourceforge.net/projects/associationview/ online. Oxford University Press 2009-03-01 2009-01-25 /pmc/articles/PMC2647839/ /pubmed/19168913 http://dx.doi.org/10.1093/bioinformatics/btp017 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Martin, Olivier Valsesia, Armand Telenti, Amalio Xenarios, Ioannis Stevenson, Brian J. AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context |
title | AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context |
title_full | AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context |
title_fullStr | AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context |
title_full_unstemmed | AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context |
title_short | AssociationViewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context |
title_sort | associationviewer: a scalable and integrated software tool for visualization of large-scale variation data in genomic context |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2647839/ https://www.ncbi.nlm.nih.gov/pubmed/19168913 http://dx.doi.org/10.1093/bioinformatics/btp017 |
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