Title |
Cistrome: an integrative platform for transcriptional regulation studies
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Published in |
Genome Biology, August 2011
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DOI | 10.1186/gb-2011-12-8-r83 |
Pubmed ID | |
Authors |
Tao Liu, Jorge A Ortiz, Len Taing, Clifford A Meyer, Bernett Lee, Yong Zhang, Hyunjin Shin, Swee S Wong, Jian Ma, Ying Lei, Utz J Pape, Michael Poidinger, Yiwen Chen, Kevin Yeung, Myles Brown, Yaron Turpaz, X Shirley Liu |
Abstract |
The increasing volume of ChIP-chip and ChIP-seq data being generated creates a challenge for standard, integrative and reproducible bioinformatics data analysis platforms. We developed a web-based application called Cistrome, based on the Galaxy open source framework. In addition to the standard Galaxy functions, Cistrome has 29 ChIP-chip- and ChIP-seq-specific tools in three major categories, from preliminary peak calling and correlation analyses to downstream genome feature association, gene expression analyses, and motif discovery. Cistrome is available at http://cistrome.org/ap/. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
United Kingdom | 1 | 17% |
China | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 16 | 4% |
United Kingdom | 5 | 1% |
France | 4 | <1% |
Italy | 3 | <1% |
Germany | 3 | <1% |
Hong Kong | 1 | <1% |
Austria | 1 | <1% |
Netherlands | 1 | <1% |
Finland | 1 | <1% |
Other | 6 | 1% |
Unknown | 409 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 115 | 26% |
Student > Ph. D. Student | 112 | 25% |
Student > Master | 57 | 13% |
Student > Bachelor | 27 | 6% |
Professor > Associate Professor | 26 | 6% |
Other | 70 | 16% |
Unknown | 43 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 198 | 44% |
Biochemistry, Genetics and Molecular Biology | 116 | 26% |
Medicine and Dentistry | 29 | 6% |
Computer Science | 22 | 5% |
Engineering | 8 | 2% |
Other | 23 | 5% |
Unknown | 54 | 12% |