Thesis Details

Porovnání a převod databází signálních drah

Bachelor's Thesis Student: Němeček Pavel Academic Year: 2007/2008 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Comparison and Transformations of Pathway Databases
Language
Czech
Abstract

The main topic of this work are comparison and transformations of pathway databases. Large part is dedicated to databases KEGG and BioCarta. In work are described formats of provided data. In process of searching for overlapping pathways between databases are used clustering, edit distance, NCBI gene numbers and equivalent relationships comparison. The system was written in C++ and using XML parser. Results are text outputs, eventually files in DOT language, which can be executed with GraphViz to generate graphs.

Keywords

Signaling pathway, database KEGG, KGML, database BioCarta, PID (Pathway Interaction Database), Graphviz, Levenshtein distance, NCI (National Cancer Institute), NCBI (National Center for Biotechnology Information)

Department
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
12 June 2008
Reviewer
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Lukáš Roman, Ing., Ph.D. (DIFS FIT BUT), člen
Ráček Jaroslav, RNDr., Ph.D. (FI MUNI), člen
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
NĚMEČEK, Pavel. Porovnání a převod databází signálních drah. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-12. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/7028/
BibTeX
@bachelorsthesis{FITBT7028,
    author = "Pavel N\v{e}me\v{c}ek",
    type = "Bachelor's thesis",
    title = "Porovn\'{a}n\'{i} a p\v{r}evod datab\'{a}z\'{i} sign\'{a}ln\'{i}ch drah",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/7028/"
}
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