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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhiheng Zhao Jianping Yin Wei Xiong |
| Copyright Year | 2012 |
| Description | Author affiliation: Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China (Zhiheng Zhao; Jianping Yin; Wei Xiong) |
| Abstract | As the core of FM-index and compressed suffix array, the Burrows-Wheeler Transform (BWT) plays a key role in indexing genomic sequence data for pattern search. It is more space-efficient than suffix tree and suffix array and also has good searching performance. However, computing a BWT from a sequence in efficient space and time is challenging. In this article, we present a fast algorithm for computing BWT which leverages the computing power of graphics processing unit (GPU). It is based on a blockwise suffix sorting method which builds BWT block-by-block and uses a GPU to accelerate the suffix sorting procedures. Our GPU-accelerated algorithm only needs small memory space and experiments show that it is about 16 times faster than the original CPU implementation for computing BWT of human whole genome. |
| Starting Page | 889 |
| Ending Page | 892 |
| File Size | 376162 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467311830 |
| e-ISBN | 9781467311847 |
| DOI | 10.1109/BMEI.2012.6513199 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | suffix array Burrows-Wheeler Transform GPU |
| Content Type | Text |
| Resource Type | Article |
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