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Integrative Genomics Viewer

Author(s)
Robinson, James T.; Thorvaldsdóttir, Helga; Winckler, Wendy; Guttman, Mitchell; Getz, Gad; Mesirov, Jill P.; Lander, Eric Steven; ... Show more Show less
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Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/
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Abstract
To the Editor: Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.
Description
Author Manuscript 2012 May 07.
Date issued
2011-01
URI
http://hdl.handle.net/1721.1/74078
Department
Lincoln Laboratory; Massachusetts Institute of Technology. Department of Biology; Koch Institute for Integrative Cancer Research at MIT
Journal
Nature Biotechnology
Publisher
Nature Publishing Group
Citation
Robinson, James T et al. “Integrative Genomics Viewer.” Nature Biotechnology 29.1 (2011): 24–26.
Version: Author's final manuscript
ISSN
1087-0156
1546-1696

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