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2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things(iThings) and IEEE Cyber, Physical and Social Computing(CPSCom)

De Bruijn Graph-Based Whole-Genomic Sequence Assembly Algorithms and Applications

Year: 2013, Pages: 2094-2097

Authors

Xiaojun Kang, Sch. of Comput. Sci., China Univ. of Geosci.(Wuhan), Wuhan, China  
Shanyu Tang, Sch. of Comput. Sci., China Univ. of Geosci.(Wuhan), Wuhan, China  
Yongge Ma, Sch. of Comput. Sci., China Univ. of Geosci.(Wuhan), Wuhan, China  
Ruixiang Liu, Sch. of Comput. Sci., China Univ. of Geosci.(Wuhan), Wuhan, China  
Yaping Wang, State Key Lab. of Freshwater Ecology & Biotechnol., Wuhan, China
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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.
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