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Integrative genomics viewer

Published on Jan 1, 2011in Nature Biotechnology31.86
· DOI :10.1038/nbt.1754
James Robinson91
Estimated H-index: 91
(MIT: Massachusetts Institute of Technology),
Helga Thorvaldsdottir12
Estimated H-index: 12
(MIT: Massachusetts Institute of Technology)
+ 4 AuthorsJill P. Mesirov71
Estimated H-index: 71
(MIT: Massachusetts Institute of Technology)
Abstract
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.
  • References (13)
  • Citations (3987)
References13
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