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Identifying and analysing alternative splice variants by aligning ESTs and mRNAs to the genomic sequence
University of Skövde, School of Humanities and Informatics.
2005 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Questions have been raised about the genomic complexity of the human genome, since it was reported that it only consisted of 32,000 genes. Alternative splicing is considered the explanation of the enormous difference between the number of genes and the number of proteins. Aligning expressed sequence tags (ESTs) to the genomic sequence has become a popular approach for gene prediction, revealing alternative splice variants. The aim in this thesis is to identify and analyse splice variants of the adhesion family of G protein-coupled receptors using EST data. 75% of the genes in the data set of 33 sequences were found to have a total of 51 splice variants. About half of the variants were considered functional.

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 2005. , 71 p.
Keyword [en]
Splice variants, alternative splicing, expressed sequence tags (ESTs), G protein-coupled receptors (GPCRs), adhesion GPCRs
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:his:diva-963OAI: oai:DiVA.org:his-963DiVA: diva2:3388
Presentation
(English)
Uppsok
Life Earth Science
Supervisors
Available from: 2008-03-07 Created: 2008-03-07 Last updated: 2009-09-25

Open Access in DiVA

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fulltext(3949 kB)2589 downloads
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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