Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/GreenCom-iThings-CPSCom.2013.393 | GreenCom/iThings/CPScom |
Keywords | Field | DocType |
whole-genomic sequence assembly,de bruijn graph,next-generation sequencing,de bruijn graph-based whole-genomic,de bruijn graph-based assembler,genomics,genomic sequence assembler,high-throughput short-read data,comparative study,graph-based assembler,biology,ngs,latest sequence assembler,cutting-edge issue,sequence assembly,sequence assembly algorithms,graph theory,whole-genome sequencing technology,zebra fish genome data | Genome,Assemblers,Graph theory,DNA sequencing theory,Algorithm,Genomics,De Bruijn graph,Sequence assembly | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaojun Kang | 1 | 0 | 1.01 |
| Shanyu Tang | 2 | 213 | 17.47 |
| Yongge Ma | 3 | 0 | 0.34 |
| Ruixiang Liu | 4 | 1 | 3.09 |
| Yaping Wang | 5 | 496 | 32.87 |