DocumentCode
3542675
Title
Comparative copy number variation from whole genome sequencing
Author
Janevski, Angel ; Varadan, Vinay ; Kamalakaran, Sitharthan ; Banerjee, Nilanjana ; Dimitrova, Nevenka
Author_Institution
Philips Res., Briarcliff Manor, NY, USA
fYear
2011
fDate
4-6 Dec. 2011
Firstpage
123
Lastpage
126
Abstract
Whole genome sequencing enables a high resolution view of the human genome and enables unique insights into copy number variations on an unprecedented scale. Numerous tools and studies have already been introduced that provide confirmatory evidence and new genomic structure variation data in individuals as well as across populations. We utilize two such tools, CNV-seq and FREEC to compare their outputs when applied to five whole genome sequences representing four populations. We focus on the ability of these tools to detect segments from two sets of segments known to vary across populations, and discuss the direction and the challenges in developing tools that detect copy number variation in collections of human genomes.
Keywords
bioinformatics; genetics; genomics; CNV-seq tool; FREEC tool; confirmatory evidence; copy number variation; genetic variation; genomic structure variation data; human genome; segment detection; whole genome sequencing; Aggregates; Bioinformatics; Distance measurement; Estimation; Genomics; Humans; Pipelines; copy number variation; genome variability; sequence alignment; sequence mappability; whole genome sequencing;
fLanguage
English
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
Conference_Location
San Antonio, TX
ISSN
2150-3001
Print_ISBN
978-1-4673-0491-7
Electronic_ISBN
2150-3001
Type
conf
DOI
10.1109/GENSiPS.2011.6169460
Filename
6169460
Link To Document