Software Downloads
Welcome to our software downloads page. The following packages are currently available
SASSy (Sensitivity Analysis Software for Systems; Paul Brown, Boris Shulgin & David Rand)
This is a GUI based Matlab toolbox for performing principal components analysis of ODE models of gene networks.
Requirements: Matlab R2008a or later, plus Symbolic Math Toolbox
Bayesian Hierarchical Clustering for R (Richard S Savage, Katherine Heller, Yang Xu, Zoubin Ghahramani, William M Truman, Murray Grant, Katherine J Denby and David L Wild)
An implementation of the algorithm described by Heller and Ghahramani (2005). This method clusters multinomial data using a greedy agglomorative algorithm based on a Dirichlet process (ie infinite mixture) model.
This work was funded by EPSRC
Requirements: The R programming language
Its in the form of an R package, which can be installed using the command R CMD INSTALL BHC_1.1.0.tar.gz. To use the BHC function you then need to explicitly load the library in your R session, using library(BHC) or require(BHC).
See BMC Bioinformatics 2009 10:242
VBSSM GUI (Paul Brown & David Wild)
This is a graphical front end for the Variational Bayesian State Space Modelling toolbox for Matlab, by Matthew J Beal.
It can work in conjunction with the Parallel Computing Toolbox and Distributed Computing Server to enable modelling jobs to be offloaded to remote CPUs.
Requirements: Matlab R2008b or later, plus the VBSSM toolbox
See Bioinformatics 2005 21:349
Spectrum Resampling (Maria Costa, Paul Brown, Barbel Finkenstadt, Peter Gould, Julia Foreman, Karen Halliday, Anthony Hall & David Rand)
A period fitting algorithm with a graphical front end for Matlab, which imports periodic time series data from Microsoft Excel xls files.
This work was produced in collaboration with the Universities of Liverpool and Edinburgh, as part of the ROBuST project, funded by BBSRC and EPSRC under the SABR initiative.
Requirements: Matlab R2008b or later, plus Statistics and Signal Processing Toolboxes for the source code, no requirements for the standalone binaries.
