Integrative Genomics Viewer
Name
Lander_Integrative genomics.pdf
Size
496.23 KB
Format
Adobe PDF
Checksum (MD5)
3a3e183a4f3f1d3a0da911e368d3ac2d
Author(s)
Robinson, James T.
Thorvaldsdóttir, Helga
Winckler, Wendy
Guttman, Mitchell
Getz, Gad
Mesirov, Jill P.
Lander, Eric Steven
Date Issued
January 2011
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
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.
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/nbt.1754
