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Subfunctionalization - Development of a computational method for studying subfunctionalization by transcriptional divergence of duplicated plant genes.

From 01-01-2005 to 31-12-2008

Description

In this project we will try to demonstrate the role of transcriptional subfunctionalization as a driving force for the functional divergence of duplicated genomes. Therefore we use comparative analysis of promoters and their regulatory elements in orthologous and paralogous genes. Computational methods are developed to identify regulatory elements and to subsequently study their evolution in duplicated genes. The in silico detection of regulatory elements is based on de novo motif detection methods which should be adapted to cope with the inherent noise. Although the methods will be generic enough to search for motifs in eucaryotes, the project will be focusing on higher plants. Recent research from the team of Prof. Van de Peer showed that genomes of plants exhibit a complicated and rich history of complete and partial genome duplications. Therefore is the number of duplicated genes very large in plants and this makes plants an ideal model organism to study the role of subfunctionalization. Moreover, the availability of additional plant genomes gives a big advantage when applying comparative analysis to promoter regions in multiple plant species. Futhermore, the relation between duplication, redundance of genes and subfunctionalization on the evolution of genes is a barely studied research topic.

Team

Financing

Funding: FWO - Research Foundation - Flanders

Program/Grant Type: FWO Research Grant - FWO Research Grant

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2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery


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Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers


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