Report for: PSCC: Sensitive and Reliable Population-Scale Copy Number Variation Detection Method Based on Low Coverage Sequencing

Title	PSCC: Sensitive and Reliable Population-Scale Copy Number Variation Detection Method Based on Low Coverage Sequencing
Published in	PLOS ONE, January 2014
DOI	10.1371/journal.pone.0085096
Pubmed ID	24465483
Authors	Xuchao Li, Shengpei Chen, Weiwei Xie, Ida Vogel, Kwong Wai Choy, Fang Chen, Rikke Christensen, Chunlei Zhang, Huijuan Ge, Haojun Jiang, Chang Yu, Fang Huang, Wei Wang, Hui Jiang, Xiuqing Zhang
Abstract	Copy number variations (CNVs) represent an important type of genetic variation that deeply impact phenotypic polymorphisms and human diseases. The advent of high-throughput sequencing technologies provides an opportunity to revolutionize the discovery of CNVs and to explore their relationship with diseases. However, most of the existing methods depend on sequencing depth and show instability with low sequence coverage. In this study, using low coverage whole-genome sequencing (LCS) we have developed an effective population-scale CNV calling (PSCC) method.

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Members of the public	1	33%

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Unknown	62	98%

Readers by professional status	Count	As %
Student > Ph. D. Student	14	22%
Researcher	12	19%
Student > Bachelor	6	10%
Student > Master	5	8%
Other	4	6%
Other	11	17%
Unknown	11	17%

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Biochemistry, Genetics and Molecular Biology	16	25%
Computer Science	5	8%
Unspecified	2	3%
Engineering	2	3%
Other	4	6%
Unknown	11	17%

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