Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Design and Implementation of a Computational Platform and a Parallelized Interaction Analysis for Large Scale Genomics Data in Multiple Sclerosis
KTH, School of Information and Communication Technology (ICT).
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Design och implementation av beräkningsplattform och paralelliserad interaktionsanalys för storskaliga genetiska data inom multipel skleros (Swedish)
Abstract [en]

The multiple sclerosis (MS) genetics research group led by professor Jan Hillert at Karolinska Institutet, focuses on investigating the aetiology of the disease. Samples have been collected routinely from patients visiting the clinic for decades. From these samples, large amounts of genetics data is being generated. The traditional methods of analyzing the data is becoming increasingly inefficient as data sets grow larger. New approaches are needed to perform the analyses.

This thesis gives an introduction to the relevant genetics and discusses possible approaches for enabling more efficient execution of legacy analysis tools, as well as improving a gene-environment and gene-gene interaction analysis. Different computational paradigms are presented followed by the implementation of a computational platform to support the researchers’ existing, and possibly future, analysis needs. The improved interaction analysis application is then implemented and executed in a virtual instance of this platform. The performance of the analysis application is then evaluated with respect to the original reference application.

Abstract [sv]

Professor Jan Hillert vid Karolinska Institutet leder en forskargrupp som fokuserar på etiologin bakom multipel skleros (MS). Under flera årtionden har patientprover samlats in från kliniken och från dessa prover har stora mängder genetiska data genererats. De traditionella analysmetoderna blir allt mer ineffektiva då datamängderna öker. Det finns ett stort behov av nya tillvägagångssätt och metoder för att analysera dessa data.

Denna uppsats ger en introduktion i relevant genetik och diskuterar olika tillvägagångssätt för att möjliggöra effektivare exekvering av befintliga analysverktyg, så väl som förbättring av en gen-miljö och gen-gen-interaktionsanalys. Olika etablerade beräkningsparadigmer presenteras, följt av en implementation av en beräkningsplattform som ett stöd i att tillgodose forskargruppens nuvarande och möjliga framtida behov. Den förbättrade interaktionsanalysen är sedan implementerad och exekverad i en virtuell instans av plattformen. Interaktionsanalysens prestanda utvärderas sedan och jämförs med ursprungsimplementationen.

Place, publisher, year, edition, pages
2013. , 58 p.
Series
Trita-ICT-EX, 2013:129
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-128459OAI: oai:DiVA.org:kth-128459DiVA: diva2:647683
Educational program
Master of Science in Engineering - Information and Communication Technology
Examiners
Available from: 2013-09-12 Created: 2013-09-12 Last updated: 2013-09-12Bibliographically approved

Open Access in DiVA

fulltext(524 kB)298 downloads
File information
File name FULLTEXT01.pdfFile size 524 kBChecksum SHA-512
1ed17166cc97d7d3da8839c14a9f46f0ec94ca8b286b511690dfe80bbef596b7fa2457fef690978ec159b8d6f56abd9fbf808eb4ca7be22d897b1e36d5b377f9
Type fulltextMimetype application/pdf

By organisation
School of Information and Communication Technology (ICT)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 298 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 185 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf