Prediction of gene function and regulation
General info
- Date from - to
- 01 Nov 2005 - 01 Jan 2010
- Project leader(s)
- ter Braak, Cajo Prof. Dr.
- Participant(s)
- Ham, van Roeland Dr.
- Cuppen, Edwin Prof. dr.
Abstract
To predict the function and regulation of genes, evidence from various data sources has to be pieced together. The challenge is to do this on a genome-wide scale and with significant sensitivity and specificity. This project distinguishes three research lines:
- A probabilistic framework for gene function prediction, based on Saccharomyces cerevisiae. This framework is being expanded to more complex plant genomes.
- The role of alternative splicing in gene functionalisation in plants, as well as its impact on computational methods of gene function prediction.
- Genomes of animal species are explored for functional elements and genetic variations, concentrating on non-protein coding genomic elements (e.g. promoter elements, but also microRNA-coding sequences).
Link to the end report of this project
Publications
- SNP and haplotype mapping for genetic analysis in the rat
- Distribution and functional impact of DNA copy number variation in the rat
- Limitations and possibilities of small RNA digital gene expression profiling
- Comparative analysis indicates that alternative splicing in plants has a limited role in functional expansion of the proteome
- A genome-wide SNP panel for mapping and association studies in the rat


