Name
Abstract | ||
|---|---|---|
This article presents a framework, Genesis (genome analysis), to efficiently and flexibly accelerate generic data manipulation operations that have become performance bottlenecks in the genomic data processing pipeline utilizing FPGAs-as-a-service. Genesis conceptualizes genomic data as a very large relational database and uses extended SQL as a domain-specific language to construct data manipulat... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MM.2021.3072385 | IEEE Micro |
Keywords | DocType | Volume |
Genomics,Bioinformatics,Micromechanical devices,Acceleration,Pipelines,Data analysis,DNA | Journal | 41 |
Issue | ISSN | Citations |
3 | 0272-1732 | 1 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tae Jun Ham | 1 | 23 | 4.58 |
| Yejin Lee | 2 | 10 | 2.33 |
| Seong Hoon Seo | 3 | 7 | 1.28 |
| U Gyeong Song | 4 | 1 | 0.34 |
| Jae W. Lee | 5 | 22 | 6.26 |
| David Bruns-Smith | 6 | 1 | 0.68 |
| Brendan Sweeney | 7 | 1 | 0.34 |
| Krste Asanović | 8 | 2975 | 226.80 |
| Younghoon Oh | 9 | 110 | 7.88 |
| Lisa Wu Wills | 10 | 2 | 1.03 |