Thesis Details

Techniky pro získávání dat v genomice

Master's Thesis Student: Jaša Petr Academic Year: 2006/2007 Supervisor: Rudolfová Ivana, Ing., Ph.D.
English title
Genomic Data Mining Techniques
Language
Czech
Abstract

First of all, this thesis sets itself a goal to introduce some common technics for datamining in genomics and as a next step to implement own algorithm like algorithm BLAST. In the concrete, this work is pointed to sequences of DNA. The DNA sequence contains in itself genetic information, which is template for living organism. For explanation this information can be used number of technics. This paper describes algorithm Fasta and algorithms from BLAST family. With these algorithms, it is possible to gain a lot of important information even about such DNA sequences, where only primary structure is known. Principle of these algorithms is based on alignments of one query sequence, which we want to obtain some information from, with many sequences stored in database. According to result alignment, it is possible to determine many features of the query sequence.

Keywords

BLAST, Fasta, DNA, RNA, sequence of DNA, nucleotid, base, adenosine, cytosine, guanine, thymine, dynamic programming, comparison, alignment, searching

Department
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade B
Date
19 June 2007
Reviewer
Committee
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), předseda
Bieliková Mária, prof. Ing., PhD. (FIIT STU), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Potúček Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
JAŠA, Petr. Techniky pro získávání dat v genomice. Brno, 2007. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2007-06-19. Supervised by Rudolfová Ivana. Available from: https://www.fit.vut.cz/study/thesis/3993/
BibTeX
@mastersthesis{FITMT3993,
    author = "Petr Ja\v{s}a",
    type = "Master's thesis",
    title = "Techniky pro z\'{i}sk\'{a}v\'{a}n\'{i} dat v genomice",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2007,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/3993/"
}
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