Title |
HAT: Hypergeometric Analysis of Tiling-arrays with application to promoter-GeneChip data
|
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Published in |
BMC Bioinformatics, May 2010
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DOI | 10.1186/1471-2105-11-275 |
Pubmed ID | |
Authors |
Erdogan Taskesen, Renee Beekman, Jeroen de Ridder, Bas J Wouters, Justine K Peeters, Ivo P Touw, Marcel JT Reinders, Ruud Delwel |
Abstract |
Tiling-arrays are applicable to multiple types of biological research questions. Due to its advantages (high sensitivity, resolution, unbiased), the technology is often employed in genome-wide investigations. A major challenge in the analysis of tiling-array data is to define regions-of-interest, i.e., contiguous probes with increased signal intensity (as a result of hybridization of labeled DNA) in a region. Currently, no standard criteria are available to define these regions-of-interest as there is no single probe intensity cut-off level, different regions-of-interest can contain various numbers of probes, and can vary in genomic width. Furthermore, the chromosomal distance between neighboring probes can vary across the genome among different arrays. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Mexico | 1 | 3% |
Denmark | 1 | 3% |
United States | 1 | 3% |
Luxembourg | 1 | 3% |
Unknown | 24 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 28% |
Student > Ph. D. Student | 8 | 28% |
Professor > Associate Professor | 3 | 10% |
Other | 2 | 7% |
Lecturer | 2 | 7% |
Other | 3 | 10% |
Unknown | 3 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 48% |
Medicine and Dentistry | 4 | 14% |
Computer Science | 3 | 10% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Mathematics | 1 | 3% |
Other | 2 | 7% |
Unknown | 3 | 10% |