BioPreDyn

From Data to Models

New Bioinformatics Methods and Tools for Data-Driven, Predictive Dynamic Modelling in Biotechnological Applications

News

An analysis of a ‘community-driven’ reconstruction of the human metabolic network (2013)

Swainston, N., Mendes, P, Kell, D.B.

pdf here

Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance. (2013)

Heavner, B.D., Smallbone, K., Price, N.D., Walker, L.P.

pdf here

A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes (2013)

Smallbone, K et al.

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The Skeletal Proteome of the Coral Acropora millepora: The Evolution of Calcification by Co-Option and Domain Shuffling (2013)

Ramos-Silva, P., Zanella-Cleon, I., Huisman, L., Marie, B., Kaandorp, J., Miller, D., Marin, F.

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Gaussian Process models

This summer school will give an introduction to Gaussian processes (GP), followed by state-of-the-art topics (multioutput GP, sparse GP, global optimisation, latent force models). Talks will be combined with workshops, with ample time for discussions.

Reverse engineering cellular networks with information theoretic methods. (2013)

Villaverde, A.F., Ross, J., Banga, J.R.

pdf here

Standardized network reconstruction of E. coli metabolism (2013)

Smallbone, K.

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Promoter sequence determines the relationship between expression level and noise. (2013)

Carey, L.B., van Dijk, D., Sloot, P.M., Kaandorp, J.A., Segal, E.

pdf here

Gaussian process models for periodicity detection (2013)

Durrande, N., Hensman, J., Rattray, M., Lawrence, N.D.

pdf here

A genome-scale modeling approach to study inborn errors of liver metabolism: toward an in silico patient (2013)

Pagliarini, R., di Bernardo, D.

pdf here