Copy Number Variation(CNV) detection in cancer patients

copy_number_aberrationCopy number aberrations (CNAs) play important roles in cancer development, but a wide range of aberration makes it hard to distinguish key driving genes from the other neighboring genes.

Until now, with the various types of microarray data sets such as array comparative genomic hybridization (CGH) and single nucleotide polymorphism (SNP) microarrays, several methods were developed to identify cancer-driving genes.

Since next generation sequencing (NGS) data from several cancer data sets are currently available, there is a growing chance that more accurate focal aberration regions might be detected.

We currently study wavelet based methods to identify aberration regions related to various types of cancers using NGS data.