uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Generation and Bioinformatic Analysis of Synthetic Ago HITS-CLIP Data
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Micro-RNAs (miRNAs) have been discovered to regulate messenger RNA (mRNA) translation and degradation. Various recent studies have been focused on miRNA target prediction, in order to get a better understanding of the rules and nature of miRNA regulation over mRNAs. In this project we aim to create a software module to identify miRNA target sites on mRNAs. As basis to this project, we refer to a study that identified a platform for miRNA-mRNA interaction in protein-RNA complexes in mouse brain (AGO HITS-CLIP study). We propose a probabilistic model of the data from this study, and generate synthetic sample data according to this model, in order to create a test bed for a discovery module. Our discovery module analyzes the sample data to identify peak regions where the interaction density is high. We present results both on synthetic sample data and data from the AGO HITS-CLIP study to evaluate our module.

Place, publisher, year, edition, pages
2013.
Series
IT, 13 039
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-204891OAI: oai:DiVA.org:uu-204891DiVA: diva2:640047
Educational program
Master Programme in Computer Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-08-12 Created: 2013-08-12 Last updated: 2013-08-12Bibliographically approved

Open Access in DiVA

fulltext(1933 kB)350 downloads
File information
File name FULLTEXT01.pdfFile size 1933 kBChecksum SHA-512
daefd86a4226b0cdb77891c8556582acb6ebf99fbb9722c785ee1b5ed1909e66937c65fb46ac9fd1d4631e2bc55d4c42dfedb6326c26fb867da618bb40b004f6
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 350 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: 519 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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