A survey of copy-number variation detection tools based on high-throughput sequencing data.
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.
Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Ruibin
R
Xi
Semin
S
Lee
Peter J
PJ
Park
D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D056915:DNA Copy Number Variations; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing; D020407:Internet