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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guojun Mao |
| Copyright Year | 2015 |
| Description | Author affiliation: Inf. Sch., Central Univ. of Finance & Econ., Beijing, China (Guojun Mao) |
| Abstract | Unlike transaction sequences in business, DNA sequences typically have a small alphabet and a long length, and so mining DNA sequences faces different challenges from other applications. This paper deals with the problem of mining key segments from long DNA sequences. We design a compact data structure, called Association Matrix, to maintain in memory the statistical information from scanning DNA sequences. Based on the Association Matrix structure, we present an algorithm for mining key segments from a super long DNA sequence. We also evaluate the approach on synthetic and real life data sets, and its good performances in time and space are approved by the experiments. |
| Starting Page | 396 |
| Ending Page | 399 |
| File Size | 204167 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479958276 |
| ISSN | 08407789 |
| e-ISBN | 9781479958290 |
| DOI | 10.1109/CCECE.2015.7129310 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-03 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | DNA Data mining Algorithm design and analysis Databases Bioinformatics Knowledge discovery |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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