Title |
Copynumber: Efficient algorithms for single- and multi-track copy number segmentation
|
---|---|
Published in |
BMC Genomics, November 2012
|
DOI | 10.1186/1471-2164-13-591 |
Pubmed ID | |
Authors |
Gro Nilsen, Knut Liestøl, Peter Van Loo, Hans Kristian Moen Vollan, Marianne B Eide, Oscar M Rueda, Suet-Feung Chin, Roslin Russell, Lars O Baumbusch, Carlos Caldas, Anne-Lise Børresen-Dale, Ole Christian Lingjærde |
Abstract |
Cancer progression is associated with genomic instability and an accumulation of gains and losses of DNA. The growing variety of tools for measuring genomic copy numbers, including various types of array-CGH, SNP arrays and high-throughput sequencing, calls for a coherent framework offering unified and consistent handling of single- and multi-track segmentation problems. In addition, there is a demand for highly computationally efficient segmentation algorithms, due to the emergence of very high density scans of copy number. |
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Germany | 1 | 20% |
Chile | 1 | 20% |
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Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
Norway | 3 | 1% |
United Kingdom | 2 | <1% |
Sweden | 2 | <1% |
Portugal | 1 | <1% |
Mexico | 1 | <1% |
Australia | 1 | <1% |
Unknown | 205 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 55 | 25% |
Student > Ph. D. Student | 49 | 22% |
Student > Master | 24 | 11% |
Student > Bachelor | 18 | 8% |
Student > Doctoral Student | 11 | 5% |
Other | 23 | 10% |
Unknown | 40 | 18% |
Readers by discipline | Count | As % |
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Computer Science | 8 | 4% |
Immunology and Microbiology | 4 | 2% |
Other | 16 | 7% |
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