Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives

Copy number variation (CNV) is a prevalent form of critical genetic variation that leads to an abnormal number of copies of large genomic regions in a cell. Microarray-based comparative genome hybridization (arrayCGH) or genotyping arrays have been standard technologies to detect large regions subje...

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Veröffentlicht in:	BMC bioinformatics Jg. 14; H. Suppl 11; S. S1
Hauptverfasser:	Zhao, Min, Wang, Qingguo, Wang, Quan, Jia, Peilin, Zhao, Zhongming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 13.09.2013 Springer Nature B.V
Schlagworte:	Algorithms Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences DNA Copy Number Variations Exons Genetic diversity Genome Genomics - methods Genotype High-Throughput Nucleotide Sequencing - methods Humans Life Sciences Microarrays Whole Genome Sequencing Data Copy Number Variation Region Copy Number Variation Circular Binary Segmentation Whole Exome Sequencing
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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