DocumentCode
3325679
Title
Structural variation discovery with next-generation sequencing
Author
Jingyang Gao ; Fei Qi ; Rui Guan
Author_Institution
Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
fYear
2013
fDate
23-24 Dec. 2013
Firstpage
709
Lastpage
711
Abstract
One of the most important direction of bioinformatics is the genome structural variation discovery. In this paper, firstly we explain four sequencing-based methods, i.e., Read-pair, Read-depth, Split-read and Assembly. Secondly, the advantage and disadvantage of the approaches are discussed. Thirdly, the combination of the methods is proved to be a better one. Finally, a novel combined strategy was analyzed that will be the direction of the future.
Keywords
DNA; bioinformatics; data mining; genomics; assembly methods; bioinformatics; genome structural variation discovery; next-generation sequencing; read-depth methods; read-pair methods; sequencing-based methods; split-read methods; Assembly; Bioinformatics; DNA; Genomics; Libraries; Next generation networking; Sequential analysis; bioinformatics; sequencing-based; structural variation;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location
Toronto, ON
Type
conf
DOI
10.1109/IMSNA.2013.6743374
Filename
6743374
Link To Document