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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, C. Li, X. Chen, P. Wang, A. Zhou, X. Yu, H. |
| Copyright Year | 2004 |
| Abstract | The next generation genome sequencing problem with short (long) reads is an emerging field in numerous scientific and big data research domains. However, data sizes and ease of access for scientific researchers are growing and most current methodologies rely on one acceleration approach and so cannot meet the requirements imposed by explosive data scales and complexities. In this paper, we propose a novel FPGA-based acceleration solution with MapReduce framework on multiple hardware accelerators. The combination of hardware acceleration and MapReduce execution flow could greatly accelerate the task of aligning short length reads to a known reference genome. To evaluate the performance and other metrics, we conducted a theoretical speedup analysis on a MapReduce programming platform, which demonstrates that our proposed architecture have efficient potential to improve the speedup for large scale genome sequencing applications. Also, as a practical study, we have built a hardware prototype on the real Xilinx FPGA chip. Significant metrics on speedup, sensitivity, mapping quality, error rate, and hardware cost are evaluated, respectively. Experimental results demonstrate that the proposed platform could efficiently accelerate the next generation sequencing problem with satisfactory accuracy and acceptable hardware cost. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 166 |
| Ending Page | 178 |
| Page Count | 13 |
| File Size | 1205536 |
| File Format | |
| ISSN | 15455963 |
| Volume Number | 12 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bioinformatics Genomics Field programmable gate arrays Sequential analysis Hardware Acceleration Computer architecture |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Genetics Biotechnology |
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