Triplex forms of DNA act as main factors of some important cell functions. However, their positions within genome and their effect on cell functions are not known well. Triplex search algorithms often don't consider many of triplexs features and the possibility of occurrence of errors. In the other hand the complexity of full featured algorithms is extremely high. This paper shows the way to speed up the algorithm that considers all known triplex features. Parallel aproach allows due to CUDA technology acceleration up to 50.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:236435 |
| Date | January 2012 |
| Creators | Weiser, Michal |
| Contributors | Lexa, Matej, Martínek, Tomáš |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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