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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yong Gao Henderson, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of British Columbia Okanagan, Kelowna (Yong Gao; Henderson, M.) |
| Abstract | A general technique based on scoring scheme reweighting is proposed that can be used to speed up dynamic programming algorithms for a variety of pairwise sequence alignment problems. For the standard sequence alignment problem with an arbitrary gap penalty function, we show that a reweighted scoring scheme can be obtained by an efficient preprocessing step that computes a set of upper bounds on the score of the optimal alignment between pairs of suffixes of the sequences. A series of experiments on synthetic sequences and biological sequences indicate that our algorithm offers significant and robust speedup over the standard cubic-time dynamic programming algorithm. For sequences of length up to 2000 used in our experiments, the speedup factor ranges from 4 to more than 50. With a strong upper bound, a sub-cubic behavior in running time is also observed for all the tested situations. |
| Starting Page | 1194 |
| Ending Page | 1198 |
| File Size | 408451 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424415090 |
| DOI | 10.1109/BIBE.2007.4375714 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dynamic programming Heuristic algorithms Upper bound Computer science Art Biology computing Robustness Testing RNA |
| Content Type | Text |
| Resource Type | Article |
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