As of October 2013 the ICOS group has disbanded.
For a list of research groups in the School of Computer Science go to the official page.
s e r v e r s
Online microarray data mining tool using ensemble and consensus methods for statistical analysis of the gene expression data.
A server performing enrichment analysis based on protein interaction network to detect associations between gene/protein sets.
Collection of web services which address protein structure prediction (PSP) sub-problems using Learning Classifier Systems.
A method for expanding the gene sets from cellular pathways with their interaction partners in protein-protein interaction networks.
Protein structure comparison server that computes a similarity consensus based on variety of measures and provides tools for structural classification.
A web-tool to visualize and compare network topological properties of gene or protein sets mapped onto interaction networks.
Online journey planner for the public transport in Nottinghamshire developed by our spin-off company INFOHUB Ltd.
Scalable service for automated comparison of large number of protein models implemented on the Google App Engine cloud platform.
s o f t w a r e
Evolutionary learning system, a successor of GAssist, designed to handle large scale bioinformatics datasets and using CUDA for GPU computing.
Rule post-processing engine for rules generated with BioHEL, that tries to reduce the rules complexity and improve their generality.
A Pittsburg learning classifier system (LCS) solving data mining problems using the genetic algorithm to evolve a population of variable-length rule sets.
Integrated software suite for modelling, simulation, parameter optimisation and model checking of large multi-cellular systems.
R package to create interactive 3D VRML plots, charts and graphs available directly in a web browser.
a d d o n s
A plugin for Cytoscape performing human gene set enrichment and topological analysis based on interaction networks.
d a t a s e t s
A dataset of energy terms and distances to the native structure of 54 protein models used to evolve the energy function correlated with a model distance.
Datasets of microarray samples used for the comparative evaluation of rule-based classification with BioHEL and different cross validation schemes.
A family of benchmarks from the protein structure prediction field suitable for testing scalability of data mining methods.
A family of syntetic boolean functions with different dimensions of difficulty for evolutionary learning systems.