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 :
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