Work

A Bayesian change-point algorithm for detecting copy number alteration

Year: 2010

Type: article

Abstract: Background Recent technical developments have made it possible to collect high-resolution genomics data using single nucleotide polymorphism (SNP) arrays. These arrays can be used in a paired data context to compare cancer tissue to normal samples in an effort to identify regions of genomic amplification or deletion. Such regions potentially contain oncogenes or tumor suppressor genes and are therefore of particular interest. However, using SNP array signals to identifying regions of copy number alteration is a challenging task due to the properties of the derived measurements.

Source: BMC Bioinformatics

DOI: 10.1186/1471-2105-11-s4-p17

Authors: Fridtjof Thomas, Stanley Pounds

Institutions: University of Tennessee Health Science Center, St. Jude Children's Research Hospital

Language: English

Topic: Genomic variations and chromosomal abnormalities

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,990