Language: | Slovenian |
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Year of publishing: | 2018 |
Typology: | 2.09 - Master's Thesis |
Organization: | UM FERI - Faculty of Electrical Engineering and Computer Science |
Publisher: | A. Bureković |
UDC: | 004.021:575.82(043.2) |
COBISS: | 21805590 |
Views: | 799 |
Downloads: | 307 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | An evolutionary algorithm for sequence alignment |
Secondary abstract: | Sequence alignment of biological sequences is a computationaly complex problem where we try to achieve the most optimal sequence alignment with different approaches. In this thesis we introduce multiple sequence alignment method with evolutionary algorithm. Our algorithm is written in C++ programming language for optimization purposes. We compared alignment results of our implementation with Clustal X program on dataset of different DNA and protein sequences that we have found in BAliBase database. In some cases we have found that results of our algorithm are quite comparable to Clustal X program. |
Secondary keywords: | evolutionary algorithms;evaluation DNA sequence alignment;protein sequence alignment; |
URN: | URN:SI:UM: |
Type (COBISS): | Master's thesis/paper |
Thesis comment: | Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije |
Pages: | VIII, 53 str. |
ID: | 10950830 |