his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Inferring Gene Regulatory Networks in Cold-Acclimated Plants by Combinatorial Analysis of mRNA Expression Levels and Promoter Regions
University of Skövde, School of Humanities and Informatics.
2006 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Understanding the cold acclimation process in plants may help us develop genetically engineered plants that are resistant to cold. The key factor in understanding this process is to study the genes and thus the gene regulatory network that is involved in the cold acclimation process. Most of the existing approaches1-8 in deriving regulatory networks rely only on the gene expression data. Since the expression data is usually noisy and sparse the networks generated by these approaches are usually incoherent and incomplete. Hence a new approach is proposed here that analyzes the promoter regions along with the expression data in inferring the regulatory networks. In this approach genes are grouped into sets if they contain similar over-represented motifs or motif pairs in their promoter regions and if their expression pattern follows the expression pattern of the regulating gene. The network thus derived is evaluated using known literature evidence, functional annotations and from statistical tests.

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 2006. , 29 p.
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:his:diva-20OAI: oai:DiVA.org:his-20DiVA: diva2:2551
Presentation
(English)
Uppsok
fysik/kemi/matematik
Available from: 2006-10-18 Created: 2006-10-18 Last updated: 2009-06-03

Open Access in DiVA

fulltext(297 kB)340 downloads
File information
File name FULLTEXT01.pdfFile size 297 kBChecksum MD5
77aa55147d422a51a104b645b6d39853c26acffd6370dc9ae2860f524d356d8cc69e1edc
Type fulltextMimetype application/pdf

By organisation
School of Humanities and Informatics
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar
Total: 340 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

Total: 587 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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