CNV detection from exome sequencing data using a generative probabilistic model

Beschreibung

Next generation sequencing (NGS) has emerged to one of the key technologies for analyzing genome variations. In particular exome sequencing is widely used as a cost and time efficient technology to identify disease-causing genetic variants as about 85% are located around coding regions. One important category of genetic variants are copy number variants (CNVs) typically detected by whole genome sequencing (WGS). However, most methods finding CNVs in WGS data are not applicable to exome sequencing data, since their read distributions differ substantially due to enrichment effects. The problem of read variations across targeted regions can be circumvented by locally modeling the read counts. For more see http://www.bioinf.jku.at/publications/2012/HGV2012_Klambauer.pdf

Zeitraum	06 Sep. 2012
Ereignistitel	13th International Meeting on Human Genome Variation and Complex Genome Analysis (HGV2012)
Veranstaltungstyp	Konferenz
Ort	ChinaAuf Karte anzeigen