Title |
Exploratory analysis of genomic segmentations with Segtools
|
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Published in |
BMC Bioinformatics, October 2011
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DOI | 10.1186/1471-2105-12-415 |
Pubmed ID | |
Authors |
Orion J Buske, Michael M Hoffman, Nadia Ponts, Karine G Le Roch, William Stafford Noble |
Abstract |
As genome-wide experiments and annotations become more prevalent, researchers increasingly require tools to help interpret data at this scale. Many functional genomics experiments involve partitioning the genome into labeled segments, such that segments sharing the same label exhibit one or more biochemical or functional traits. For example, a collection of ChlP-seq experiments yields a compendium of peaks, each labeled with one or more associated DNA-binding proteins. Similarly, manually or automatically generated annotations of functional genomic elements, including cis-regulatory modules and protein-coding or RNA genes, can also be summarized as genomic segmentations. |
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Canada | 5 | 15% |
United Kingdom | 3 | 9% |
Australia | 3 | 9% |
Germany | 2 | 6% |
New Zealand | 1 | 3% |
Japan | 1 | 3% |
Mexico | 1 | 3% |
South Africa | 1 | 3% |
Other | 0 | 0% |
Unknown | 8 | 24% |
Demographic breakdown
Type | Count | As % |
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Scientists | 17 | 50% |
Members of the public | 15 | 44% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 11% |
Canada | 3 | 4% |
Turkey | 1 | 1% |
Spain | 1 | 1% |
Russia | 1 | 1% |
Unknown | 64 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 34% |
Student > Ph. D. Student | 15 | 19% |
Student > Bachelor | 8 | 10% |
Student > Doctoral Student | 6 | 8% |
Student > Master | 6 | 8% |
Other | 13 | 16% |
Unknown | 4 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 44 | 56% |
Biochemistry, Genetics and Molecular Biology | 10 | 13% |
Computer Science | 10 | 13% |
Engineering | 3 | 4% |
Mathematics | 2 | 3% |
Other | 5 | 6% |
Unknown | 5 | 6% |