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PMID: 12385985 Published · ppublish English Journal Article

Theoretical analysis of alternative splice forms using computational methods.

Bioinformatics (Oxford, England) ·Vol. 18 Suppl 2 ·2002-00-00 ·Pages S65-73

Boué S, Vingron M, Kriventseva E, Koch I

Abstract

Nowadays understanding alternative splicing is one of the greatest challenges in biology, because it is a genetic process much more important than thought at the time of its discovery. In this paper, we explain the approach of using the different available databases and software tools to start a large scale investigation of alternative splice forms. To collect information about alternative splicing we investigated known data in the databases using different computational methods. The investigations proceeded from the genomic sequence data to structural protein data. Then, we interpreted those data to find the relationship between alternative splice forms and protein function and structure. We found some interesting features of alternative splicing which are presented here. We discuss the results of one chosen example. They concern the coverage quality of the protein sequence of a known structure, an EST analysis, the validation of splice variants, the determination of the alternative splice type, and finally the link between alternative splicing and disease.

MeSH Terms
Algorithms Alternative Splicing/genetics Computer Simulation Exons/genetics Expressed Sequence Tags Humans Models, Genetic Models, Molecular Protein Conformation Sequence Alignment/methods Sequence Analysis, Protein/methods Sequence Analysis, RNA/methods Transcription Factors/chemistry,genetics,metabolism
Chemicals
Transcription Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Boué Stéphanie
Max-Planck-Institute for Molecular Genetics, Department Computational Molecular Biology, Berlin, Germany.
Vingron Martin
Kriventseva Evgenia
Koch Ina
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2002-00-00
Pages
S65-73
Language
English
Region
England
NLM ID
9808944
Subset
IM
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