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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abu-Hashem, M.A. Rashid, N.A. |
| Copyright Year | 2009 |
| Abstract | Dynamic programming-based algorithm such as Smith-Waterman algorithm, which produces the most optimal result, has been known as one of the most used algorithm for sequence alignment. Hirschberg algorithm is the space saving version of Smith-Waterman algorithm. However, both algorithms are still very computational intensive. The N-Gram-Hirschberg algorithm is introduced to further reduced the space requirement and at the same time, to speed up the sequences alignment algorithm. This research aims to enhance the N-Gram-Hirschberg algorithm by embedding the Hashing function, adopted from an exact string matching algorithm called Karp-Rabin. The hash function is used to enhance the transformation process for the algorithm. The new method improves the processing time of the N-Gram-Hirschberg without sacrificing the quality of the output. The best time enhancement we got was when word length is two for protein sequence length ranges between 100-1000. |
| Starting Page | 282 |
| Ending Page | 286 |
| File Size | 358035 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424441549 |
| DOI | 10.1109/AMS.2009.112 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-25 |
| Publisher Place | Indonesia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hypertension Shape Aneurysm Sequence alignment Stress Abdomen Geometry Hash function Computed tomography N-Gram-Hirschberg Surgery Blood pressure Numerical models |
| Content Type | Text |
| Resource Type | Article |
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