Iterativno traženje motiva i vreća fraza u genomu i proteomu

master's thesis

• Title (english): Iterative search for motifs and phrase bags in the genome and proteome
• Author: Laura Ramov
• Mentor: Pavle Goldstein (mentor)
• Committee member: Nela Bosner (predsjednik povjerenstva)
• Committee member: Franka Miriam Brückler (član povjerenstva)
• Committee member: Pavle Goldstein (član povjerenstva)
• Committee member: Marko Erceg (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2021-03-04, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics

Abstract

Napretkom bioinformatike i pronalaskom novih neopisanih proteina javlja se sve veća potreba za novim metodama klasifikacije proteina. U ovom diplomskom radu prezentirali smo dvije metode klasifikacije. Razvili smo i opisali metodu reduciranog alfabeta te proveli all against all metodu. Svaka od tih metoda proizvela je 10-15 motiva za svaku proteinsku familiju pomoću kojih smo klasificirali članove familija.

Abstract (english)

Advances in bioinformatics and the discovery of new protein families increases the need for new protein classification methods. In this thesis we presented two classification methods. We developed and described the reduced alphabet method, and we carried out an all-against-all search. Both methods produced 10-15 motifs for each protein family, which were then used to classify members.

• Keywords: bioinformatika; klasifikacija proteina; metoda reduciranog alfabeta; all against all metoda
• Keywords (english): bioinformatics; protein classification; reduced alphabet method; all-against-all search
• Language: croatian
• URN:NBN: urn:nbn:hr:217:862542
• Study programme: Title: Mathematical Statistics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-03-25 13:16:11