Title |
ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing
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Published in |
Genome Biology, February 2010
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DOI | 10.1186/gb-2010-11-2-r22 |
Pubmed ID | |
Authors |
Guoliang Li, Melissa J Fullwood, Han Xu, Fabianus Hendriyan Mulawadi, Stoyan Velkov, Vinsensius Vega, Pramila Nuwantha Ariyaratne, Yusoff Bin Mohamed, Hong-Sain Ooi, Chandana Tennakoon, Chia-Lin Wei, Yijun Ruan, Wing-Kin Sung |
Abstract |
Chromatin interaction analysis with paired-end tag sequencing (ChIA-PET) is a new technology to study genome-wide long-range chromatin interactions bound by protein factors. Here we present ChIA-PET Tool, a software package for automatic processing of ChIA-PET sequence data, including linker filtering, mapping tags to reference genomes, identifying protein binding sites and chromatin interactions, and displaying the results on a graphical genome browser. ChIA-PET Tool is fast, accurate, comprehensive, user-friendly, and open source (available at http://chiapet.gis.a-star.edu.sg). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 3% |
Germany | 5 | <1% |
United Kingdom | 5 | <1% |
Denmark | 4 | <1% |
Japan | 3 | <1% |
France | 2 | <1% |
Netherlands | 2 | <1% |
Spain | 2 | <1% |
Sweden | 1 | <1% |
Other | 8 | 1% |
Unknown | 522 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 174 | 30% |
Researcher | 152 | 27% |
Student > Master | 66 | 12% |
Student > Bachelor | 38 | 7% |
Professor > Associate Professor | 24 | 4% |
Other | 71 | 12% |
Unknown | 46 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 313 | 55% |
Biochemistry, Genetics and Molecular Biology | 130 | 23% |
Computer Science | 32 | 6% |
Medicine and Dentistry | 16 | 3% |
Engineering | 8 | 1% |
Other | 17 | 3% |
Unknown | 55 | 10% |