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Studying biochemical networks using probabilistic knowledge discovery

Biochem Networks with Grid technology

The aim is to develop a formal and robust approach web-based tool to help biologists gather and interpret information about biochemical networks. Use of these tools by the community will provide new insights into systems biology. The formal approach will be implemented by using stochastic logic programs (SLPs). SLPs are well suited to deal with logical relationships stemming from the graphical nature of networks and with the uncertainty inherent to noisy and incomplete bioinformatic data sets from numerous sources. SLPs are a generalisation of Hidden Markov Models, stochastic-free grammars, and undirected Bayes nets. GRID technology will be used for updating the databases and to provide a web-based interface capable of uploading data from the users remote site.

Maturity: Initial Research
Region: UK
Type: Research
Grant Value: £434,060.00
Start Date: 01/05/2002
End Date: Not specified
Project Status: funded
Funding Agency: BBSRC

Project Members
There are currently no Project Members associated with this project.

Collaborating Organisations
Imperial College London

Component(s) Project Develops
This project is not associated with any components at present.

Application Area(s) associated with Project


Last Updated: 22 Jun 12 11:04
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