|
|
|
|
| LEADER |
02262 am a22003733u 4500 |
| 001 |
106809 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Durand, Neva C.
|e author
|
| 100 |
1 |
0 |
|a Massachusetts Institute of Technology. Department of Biology
|e contributor
|
| 100 |
1 |
0 |
|a Lander, Eric Steven
|e contributor
|
| 700 |
1 |
0 |
|a Shamim, Muhammad S.
|e author
|
| 700 |
1 |
0 |
|a Machol, Ido
|e author
|
| 700 |
1 |
0 |
|a Rao, Suhas S.P.
|e author
|
| 700 |
1 |
0 |
|a Huntley, Miriam H.
|e author
|
| 700 |
1 |
0 |
|a Aiden, Erez Lieberman
|e author
|
| 700 |
1 |
0 |
|a Lander, Eric Steven
|e author
|
| 245 |
0 |
0 |
|a Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments
|
| 260 |
|
|
|b Elsevier,
|c 2017-01-31T17:15:21Z.
|
| 856 |
|
|
|z Get fulltext
|u http://hdl.handle.net/1721.1/106809
|
| 520 |
|
|
|a Hi-C experiments explore the 3D structure of the genome, generating terabases of data to create high-resolution contact maps. Here, we introduce Juicer, an open-source tool for analyzing terabase-scale Hi-C datasets. Juicer allows users without a computational background to transform raw sequence data into normalized contact maps with one click. Juicer produces a hic file containing compressed contact matrices at many resolutions, facilitating visualization and analysis at multiple scales. Structural features, such as loops and domains, are automatically annotated. Juicer is available as open source software at http://aidenlab.org/juicer/.
|
| 520 |
|
|
|a National Institutes of Health (U.S.) (New Innovator Award 1DP2OD008540)
|
| 520 |
|
|
|a National Science Foundation (U.S.) Physics Frontier Center (Grant PHY-1427654)
|
| 520 |
|
|
|a National Human Genome Research Institute (U.S.) (Grant HG006193)
|
| 520 |
|
|
|a Robert A. Welch Foundation (Grant Q-1866)
|
| 520 |
|
|
|a Cancer Prevention and Research Institute of Texas (Scholar Award R1304)
|
| 520 |
|
|
|a NVIDIA Corporation (Research Center Award)
|
| 520 |
|
|
|a IBM (University Challenge Award)
|
| 520 |
|
|
|a Google (Research Award)
|
| 520 |
|
|
|a Baylor College of Medicine (McNair Medical Institute Scholar Award)
|
| 520 |
|
|
|a National Human Genome Research Institute (U.S.) (Grant HG003067)
|
| 520 |
|
|
|a National Institutes of Health (U.S.) (4D Nucleome Grant U01HL130010)
|
| 546 |
|
|
|a en_US
|
| 655 |
7 |
|
|a Article
|
| 773 |
|
|
|t Cell Systems
|
