Bioinformatics

Home

Research

Bioinformatics

Torgeir R Hvidsten Project Page

Computational inference of regulatory interaction networks in plants

Modeling the regulatory mechanisms behind important processes in Poplar such as growth and development will require a system biology approach. We develop and apply machine learning methods to build genome-wide regulatory and interaction networks. We put special emphasis on developing data representation methods that allow us to combine profiling data from transcriptomics, metabolomics and proteomics projects with existing biological knowledge to obtain both predictive and descriptive models.

We plan to draw on our experience in computational modeling to build networks that describe regulation and interaction in Poplar. Specific biological questions and experimental data will come from Umeå Plant Science Center, while the Computational Life Science Cluster will provide a dynamic bioinformatics research environment. Our short-term goal is to identify co-regulated gene modules in Poplar and provide regulatory mechanisms for these. We then aim at connecting these basic building blocks into regulatory networks and at adding protein-protein and protein-ligand interactions. Our long-term goal is for these networks to reflect the dynamics of biological systems by building networks that can be executed in a computer and that behaves differently depending on the biological settings.

Contact Info

PI: Torgeir R Hvidsten

Recent Publications

no articles found

March 2010

Wednesday, March 10, 2010
Random Picture (up06.jpg)