@article {152851, title = {A survey of copy-number variation detection tools based on high-throughput sequencing data.}, journal = {Curr Protoc Hum Genet}, volume = {Chapter 7}, year = {2012}, month = {2012 Oct}, pages = {Unit7.19}, abstract = { Copy-number variation (CNV) is a major class of genomic variation with potentially important functional consequences in both normal and diseased populations. Remarkable advances in development of next-generation sequencing (NGS) platforms provide an unprecedented opportunity for accurate, high-resolution characterization of CNVs. In this unit, we give an overview of available computational tools for detection of CNVs and discuss comparative advantages and disadvantages of different approaches. }, keywords = {Algorithms, Computational Biology, DNA Copy Number Variations, Genomics, High-Throughput Nucleotide Sequencing, Internet}, issn = {1934-8258}, doi = {10.1002/0471142905.hg0719s75}, author = {Xi, Ruibin and Lee, Semin and Park, Peter J} }