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Published on: December 9, 2016
Detecting over-represented motifs in alternatively spliced exons using Gibbs sampling.
Andigoni Malousi1, Sofia Kouidou, Nicos Maglaveras
1Student Member, IEEE, Lab. of Medical Informatics, Faculty of Medicine, Aristotle University of Thessaloniki, 54124, P.O.Box 323, Greece, andigoni@med.auth.gr.
Summary
This study identifies over-represented sequence motifs in alternatively spliced genes using statistical analysis. These motifs are similar to known regulatory elements, suggesting their role in splicing regulation.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Alternative pre-mRNA splicing is crucial in complex organisms and linked to diseases.
- Splicing-related proteins are key regulators of this process.
Purpose of the Study:
- To identify short consensus sequences over-represented in alternatively spliced human genes.
- To assess the biological significance of these motifs in relation to splicing regulation.
Main Methods:
- Stochastic analysis of alternatively spliced human genes.
- Application of Gibbs sampling for motif identification.
- Comparison against a reference Markov model of constitutive exons.
Main Results:
- A set of statistically significant over-represented motifs was identified.
- These motifs show similarity to known regulatory splicing elements.
- The identified sequences are likely recognized by cis-acting splicing regulatory elements.
Conclusions:
- The study successfully identified novel, over-represented motifs in alternatively spliced genes.
- These findings enhance our understanding of splicing regulation and its link to disease.
- The identified motifs represent potential targets for further investigation into splicing control mechanisms.
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