DocumentCode
653495
Title
De Bruijn Graph-Based Whole-Genomic Sequence Assembly Algorithms and Applications
Author
Xiaojun Kang ; Shanyu Tang ; Yongge Ma ; Ruixiang Liu ; Yaping Wang
Author_Institution
Sch. of Comput. Sci., China Univ. of Geosci.(Wuhan), Wuhan, China
fYear
2013
fDate
20-23 Aug. 2013
Firstpage
2094
Lastpage
2097
Abstract
Next-generation sequencing (NGS) greatly promotes the research and development of whole-genome sequencing technology. Genomic sequence assemblers and algorithms dealing with high-throughput short-read data have been the cutting-edge issues in the field. This paper discusses several latest sequence assemblers and their algorithms, and conducts a comparative study of some typical de Bruijn graph-based assemblers by stimulating the sequencing and assembly of zebra fish genome data.
Keywords
biology; genomics; graph theory; NGS; de Bruijn graph-based assembler; next-generation sequencing; whole-genome sequencing technology; whole-genomic sequence assembly; zebra fish genome data; Assembly; Bioinformatics; Biological cells; Biotechnology; Genomics; Sequential analysis; Software; NGS; de Bruijn graph; sequence assembly;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location
Beijing
Type
conf
DOI
10.1109/GreenCom-iThings-CPSCom.2013.393
Filename
6682403
Link To Document