Integrative Genomics Viewer
Author Manuscript 2012 May 07.
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Nature Publishing Group
2012
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| Online Access: | http://hdl.handle.net/1721.1/74078 |
| _version_ | 1826210387704414208 |
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| author | Robinson, James T. Thorvaldsdóttir, Helga Winckler, Wendy Guttman, Mitchell Getz, Gad Mesirov, Jill P. Lander, Eric Steven |
| author2 | Lincoln Laboratory |
| author_facet | Lincoln Laboratory Robinson, James T. Thorvaldsdóttir, Helga Winckler, Wendy Guttman, Mitchell Getz, Gad Mesirov, Jill P. Lander, Eric Steven |
| author_sort | Robinson, James T. |
| collection | MIT |
| description | Author Manuscript 2012 May 07. |
| first_indexed | 2024-09-23T14:49:00Z |
| format | Article |
| id | mit-1721.1/74078 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:49:00Z |
| publishDate | 2012 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/740782022-09-29T10:43:54Z Integrative Genomics Viewer Robinson, James T. Thorvaldsdóttir, Helga Winckler, Wendy Guttman, Mitchell Getz, Gad Mesirov, Jill P. Lander, Eric Steven Lincoln Laboratory Massachusetts Institute of Technology. Department of Biology Koch Institute for Integrative Cancer Research at MIT Robinson, James T. Guttman, Mitchell Lander, Eric S. Mesirov, Jill P. Author Manuscript 2012 May 07. 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. National Institute of General Medical Sciences (U.S.) (R01GM074024) National Cancer Institute (U.S.) (R21CA135827) National Human Genome Research Institute (U.S.) (U54HG003067) 2012-10-18T15:26:26Z 2012-10-18T15:26:26Z 2011-01 Article http://purl.org/eprint/type/JournalArticle 1087-0156 1546-1696 http://hdl.handle.net/1721.1/74078 Robinson, James T et al. “Integrative Genomics Viewer.” Nature Biotechnology 29.1 (2011): 24–26. en_US http://dx.doi.org/10.1038/nbt.1754 Nature Biotechnology Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Nature Publishing Group PMC |
| spellingShingle | Robinson, James T. Thorvaldsdóttir, Helga Winckler, Wendy Guttman, Mitchell Getz, Gad Mesirov, Jill P. Lander, Eric Steven Integrative Genomics Viewer |
| title | Integrative Genomics Viewer |
| title_full | Integrative Genomics Viewer |
| title_fullStr | Integrative Genomics Viewer |
| title_full_unstemmed | Integrative Genomics Viewer |
| title_short | Integrative Genomics Viewer |
| title_sort | integrative genomics viewer |
| url | http://hdl.handle.net/1721.1/74078 |
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