Learning which uORFs Regulate Gene Expression

People

• EU EST Marie Curie Fellow: Selpi

• Principal Supervisor: Dr Chris Bryant

• Second supervisor: Dr John McCall

• Collaborators:
  • Prof Per Sunnerhagen, Dept. of Molecular Biology, Gothenburg University, Sweden.

  • Dr G.Kemp (Associate Professor in Computer Science and Engineering), Chalmers University of Technology, Gothenburg, Sweden.

  • Prof Olle Nerman, Department of Mathematical Statistics, Chalmers University of Technology, Gothenburg, Sweden.

  • Marija Cvijovic, Max Planck Institute for Molecular Genetics, Berlin, Germany.

Funding

• School of Computing, The Robert Gordon University, Aberdeen

• EST project "Systems Biology" (EC contract number MEST-2-CT-2004-514169)

• Scottish International Education Trust

Background

Regulation of gene expression is central to biology. However, a holistic regulatory mechanism of gene expression is still far beyond current knowledge in biology. This is mainly because very little is known about regulatory elements. This project concerns one of these elements, namely the upstream Open Reading Frames (uORFs), in the yeast Saccharomyces cerevisiae. Our approach applies a combination of a machine learning technique, inductive logic programming and bioinformatics tools to data integrated from several data resources (such as the Saccharomyces Genome Database and the EMBL Database).

Results - Summer 2006

Datasets and Software

• Materials associated with the paper: "A First Step towards Learning which uORFs Regulate Gene Expression" which was published in the Journal of Integrative Bioinformatics 3 (2), 2006.

This page is maintained by Chris Bryant.
Last updated on 18 May 2007.