Language: | Slovenian |
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Year of publishing: | 2013 |
Source: | Maribor |
Typology: | 2.09 - Master's Thesis |
Organization: | UM FERI - Faculty of Electrical Engineering and Computer Science |
Publisher: | [U. Perčič] |
UDC: | 575.112:004(043) |
COBISS: | 17058838 |
Views: | 1440 |
Downloads: | 168 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | MULTIPLE ALIGNMENT OF NUCLEOTIDE OR PROTEIN SEQUENCES |
Secondary abstract: | The simultaneous alignment of a number of DNA or protein sequences is one of the most common tasks in bioinformatics. It is useful for phylogenetic analysis, detection of homology between a newly sequenced gene and an existing gene family and for prediction of protein structure. The use of an exact algorithm is practically impossible due to the exponential nature of the problem. The goal of this work is to study several heuristic computer algorithms that have emerged as an alternative to manual alignment construction. Two algorithms have been implemented and evaluated. They have been considered effective enough for construction of real-life multiple sequence alignments. Test results are shown and suggestions for further studies are given. |
Secondary keywords: | DNK sequence;protein sequence;sequence alignment;homology; |
URN: | URN:SI:UM: |
Type (COBISS): | Master's thesis/paper |
Thesis comment: | Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko |
Pages: | VIII, 82 f. |
Keywords (UDC): | mathematics;natural sciences;naravoslovne vede;matematika;biological sciences in general;biologija;general genetics;general cytogenetics;splošna genetika;splošna citogenetika;science and knowledge;organization;computer science;information;documentation;librarianship;institutions;publications;znanost in znanje;organizacije;informacije;dokumentacija;bibliotekarstvo;institucije;publikacije;prolegomena;fundamentals of knowledge and culture;propaedeutics;prolegomena;splošne osnove znanosti in kulture;computer science and technology;computing;data processing;računalniška znanost in tehnologija;računalništvo;obdelava podatkov; |
ID: | 1027765 |