Title |
An encyclopedia of mouse DNA elements (Mouse ENCODE)
|
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Published in |
Genome Biology, August 2012
|
DOI | 10.1186/gb-2012-13-8-418 |
Pubmed ID | |
Authors |
John A Stamatoyannopoulos, Michael Snyder, Ross Hardison, Bing Ren, Thomas Gingeras, David M Gilbert, Mark Groudine, Michael Bender, Rajinder Kaul, Theresa Canfield, Erica Giste, Audra Johnson, Mia Zhang, Gayathri Balasundaram, Rachel Byron, Vaughan Roach, Peter J Sabo, Richard Sandstrom, A Sandra Stehling, Robert E Thurman, Sherman M Weissman, Philip Cayting, Manoj Hariharan, Jin Lian, Yong Cheng, Stephen G Landt, Zhihai Ma, Barbara J Wold, Job Dekker, Gregory E Crawford, Cheryl A Keller, Weisheng Wu, Christopher Morrissey, Swathi A Kumar, Tejaswini Mishra, Deepti Jain, Marta Byrska-Bishop, Daniel Blankenberg, Bryan R Lajoie, Gaurav Jain, Amartya Sanyal, Kaun-Bei Chen, Olgert Denas, James Taylor, Gerd A Blobel, Mitchell J Weiss, Max Pimkin, Wulan Deng, Georgi K Marinov, Brian A Williams, Katherine I Fisher-Aylor, Gilberto Desalvo, Anthony Kiralusha, Diane Trout, Henry Amrhein, Ali Mortazavi, Lee Edsall, David McCleary, Samantha Kuan, Yin Shen, Feng Yue, Zhen Ye, Carrie A Davis, Chris Zaleski, Sonali Jha, Chenghai Xue, Alex Dobin, Wei Lin, Meagan Fastuca, Huaien Wang, Roderic Guigo, Sarah Djebali, Julien Lagarde, Tyrone Ryba, Takayo Sasaki, Venkat S Malladi, Melissa S Cline, Vanessa M Kirkup, Katrina Learned, Kate R Rosenbloom, W James Kent, Elise A Feingold, Peter J Good, Michael Pazin, Rebecca F Lowdon, Leslie B Adams |
Abstract |
ABSTRACT: To complement the human Encyclopedia of DNA Elements (ENCODE) project and to enable a broad range of mouse genomics efforts, the Mouse ENCODE Consortium is applying the same experimental pipelines developed for human ENCODE to annotate the mouse genome. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 25% |
United Kingdom | 4 | 17% |
Micronesia, Federated States of | 1 | 4% |
Canada | 1 | 4% |
India | 1 | 4% |
Italy | 1 | 4% |
France | 1 | 4% |
Unknown | 9 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 12 | 50% |
Members of the public | 10 | 42% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 3% |
United Kingdom | 5 | 1% |
Germany | 3 | <1% |
Sweden | 3 | <1% |
Switzerland | 1 | <1% |
France | 1 | <1% |
Australia | 1 | <1% |
Finland | 1 | <1% |
Portugal | 1 | <1% |
Other | 4 | 1% |
Unknown | 318 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 102 | 29% |
Researcher | 97 | 28% |
Student > Master | 27 | 8% |
Student > Bachelor | 23 | 7% |
Professor > Associate Professor | 21 | 6% |
Other | 50 | 14% |
Unknown | 30 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 165 | 47% |
Biochemistry, Genetics and Molecular Biology | 77 | 22% |
Medicine and Dentistry | 15 | 4% |
Computer Science | 12 | 3% |
Neuroscience | 11 | 3% |
Other | 29 | 8% |
Unknown | 41 | 12% |