Title |
Single-cell copy number variation detection
|
---|---|
Published in |
Genome Biology, August 2011
|
DOI | 10.1186/gb-2011-12-8-r80 |
Pubmed ID | |
Authors |
Jiqiu Cheng, Evelyne Vanneste, Peter Konings, Thierry Voet, Joris R Vermeesch, Yves Moreau |
Abstract |
Detection of chromosomal aberrations from a single cell by array comparative genomic hybridization (single-cell array CGH), instead of from a population of cells, is an emerging technique. However, such detection is challenging because of the genome artifacts and the DNA amplification process inherent to the single cell approach. Current normalization algorithms result in inaccurate aberration detection for single-cell data. We propose a normalization method based on channel, genome composition and recurrent genome artifact corrections. We demonstrate that the proposed channel clone normalization significantly improves the copy number variation detection in both simulated and real single-cell array CGH data. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
United Kingdom | 1 | <1% |
Russia | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 95 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 28% |
Researcher | 27 | 26% |
Student > Bachelor | 6 | 6% |
Student > Postgraduate | 6 | 6% |
Student > Master | 6 | 6% |
Other | 19 | 19% |
Unknown | 9 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 38 | 37% |
Biochemistry, Genetics and Molecular Biology | 24 | 24% |
Computer Science | 12 | 12% |
Medicine and Dentistry | 9 | 9% |
Mathematics | 3 | 3% |
Other | 5 | 5% |
Unknown | 11 | 11% |