Genome Fusion Detection: a novel method to detect fusion genes from SNP-array data.

ABSTRACT:

Motivation

Fusion genes result from genomic rearrangements, such as deletions, amplifications and translocations. Such rearrangements can also frequently be observed in cancer and have been postulated as driving event in cancer development. to detect them, one needs to analyze the transition region of two segments with different copy number, the location where fusions are known to occur. Finding fusion genes is essential to understanding cancer development and may lead to new therapeutic approaches.

Results

Here we present a novel method, the Genomic Fusion Detection algorithm, to predict fusion genes on a genomic level based on SNP-array data. This algorithm detects genes at the transition region of segments with copy number variation. With the application of defined constr

SUBMITTER: Thieme S 

PROVIDER: S-EPMC3597144 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature