Brzi pregled baze podataka peptida

master's thesis

• Title (english): Fast peptide database browser
• Author: Tijan Tomislav Radoš
• Mentor: Igor Mekterović (mentor)
• Committee member: Igor Mekterović (predsjednik povjerenstva)
• Committee member: Ljiljana Brkić (član povjerenstva)
• Committee member: Boris Vrdoljak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-19, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Strukture proteina u domeni bioinformatike su dosta jednostavne strukture koje se sastoje od svega par atributa. Ako ih razdijelimo enzimom tripsinom, dobivamo peptide, koji imaju svoju jedinstvenu masu I prisutni su u više različitih proteina. Takve strukture lako je organizirati kada je u pitanju organizacija baze podataka. Naime, pregled tih podataka je spor zbog velike količine podataka od nekoliko milijardi zapisa peptida. Ovaj rad istražuje I implementira brzi pregled baze podataka peptida, pri čemu je pažnja posvećena indeksiranju, sažimanju, fizičkoj organizaciji, replikaciji i fragmentaciji. Kroz razne tehnologije, rad istražuje slučajeve relacijske, key-value i distribuirane relacijske baze podataka uz popratne rezultate i konačni izvještaj.

Abstract (english)

Protein structures in the domain of bioinformatics are quite simple structures that consist of just a few attributes. If we divide them by the trypsin enzyme, we get peptides, which have their own unique mass. Different peptides are present in different proteins. When it comes to database organization, such structures are easy to organize. However, browsing this data is quite slow because of the large amount of data that goes up to several billion records. This project investigates and implements a solution for fast peptide database browser, with special attention paid on indexing, compression, physical organization, replication and fragmentation. Through various technologies, investigation is based on exploring the case of relational, key-value and distributed relational database with accompanying results and final reports.

• Keywords: proteini; peptidi; baza podataka; indeksiranje; organizacija; struktura
• Keywords (english): proteins; peptides; database; indexing; organization; structure
• Language: croatian
• URN:NBN: urn:nbn:hr:168:603345
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-14 00:19:13