title: Assessing the enrichment performance in targeted resequencing experiments.
abstract: Target enrichment strategies are a very common approach to sequence a predefined part of an individual's genome using second-generation sequencing technologies. While highly dependent on the technology and the target sequences selected, the performance of the various assays is also variable between samples and is influenced by the way how the libraries are handled in the laboratory. Here, we show how to find detailed information about the enrichment performance using a novel software package called NGSrich, which we developed as a part of a whole-exome resequencing pipeline in a medium-sized genomics center. Our software is suitable for high-throughput use and the results can be shared using HTML and a web server. Finally, we have sequenced exome-enriched DNA libraries of 18 human individuals using three different enrichment products and used our new software for a comparative analysis of their performance.
authors.affiliation: Cologne Cluster of Excellence on Cellular Stress Responses in Aging-Associated Diseases, Universität zu Köln, Cologne, Germany. peter.frommolt@uni-koeln.de
authors.forename: Peter
authors.initials: P
authors.lastname: Frommolt
authors.forename: Ali T
authors.initials: AT
authors.lastname: Abdallah
authors.forename: Janine
authors.initials: J
authors.lastname: Altmüller
authors.forename: Susanne
authors.initials: S
authors.lastname: Motameny
authors.forename: Holger
authors.initials: H
authors.lastname: Thiele
authors.forename: Christian
authors.initials: C
authors.lastname: Becker
authors.forename: Kathryn
authors.initials: K
authors.lastname: Stemshorn
authors.forename: Matthias
authors.initials: M
authors.lastname: Fischer
authors.forename: Tobias
authors.initials: T
authors.lastname: Freilinger
authors.forename: Peter
authors.initials: P
authors.lastname: Nürnberg
mesh_terms: D059472:Exome; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D017422:Sequence Analysis, DNA / Q000379:methods; D012984:Software