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Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today’s sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer...
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/PMC3603213/ https://www.ncbi.nlm.nih.gov/pubmed/22517427 http://dx.doi.org/10.1093/bib/bbs017 |
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author | Thorvaldsdóttir, Helga Robinson, James T. Mesirov, Jill P. |
author_facet | Thorvaldsdóttir, Helga Robinson, James T. Mesirov, Jill P. |
author_sort | Thorvaldsdóttir, Helga |
collection | PubMed |
description | Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today’s sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of IGV is its focus on the integrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and the integration of clinical and phenotypic data. Although IGV is often used to view genomic data from public sources, its primary emphasis is to support researchers who wish to visualize and explore their own data sets or those from colleagues. To that end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available for download from http://www.broadinstitute.org/igv, under a GNU LGPL open-source license. |
format | Online Article Text |
id | pubmed-3603213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36032132013-03-20 Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration Thorvaldsdóttir, Helga Robinson, James T. Mesirov, Jill P. Brief Bioinform Papers Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today’s sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of IGV is its focus on the integrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and the integration of clinical and phenotypic data. Although IGV is often used to view genomic data from public sources, its primary emphasis is to support researchers who wish to visualize and explore their own data sets or those from colleagues. To that end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available for download from http://www.broadinstitute.org/igv, under a GNU LGPL open-source license. Oxford University Press 2013-03 2012-04-19 /pmc/articles/PMC3603213/ /pubmed/22517427 http://dx.doi.org/10.1093/bib/bbs017 Text en © The Author(s) 2012. 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 | Papers Thorvaldsdóttir, Helga Robinson, James T. Mesirov, Jill P. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration |
title | Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration |
title_full | Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration |
title_fullStr | Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration |
title_full_unstemmed | Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration |
title_short | Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration |
title_sort | integrative genomics viewer (igv): high-performance genomics data visualization and exploration |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3603213/ https://www.ncbi.nlm.nih.gov/pubmed/22517427 http://dx.doi.org/10.1093/bib/bbs017 |
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