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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
         
        
            Conference_Location : 
Toronto, ON
         
        
        
            DOI : 
10.1109/IMSNA.2013.6743374