Computational Modelling Group

R

R is a free, open source, platform independent programming language for statistics and publication quality graphics. It is supported by a highly active user community that develops open source code, much of which is available at the Comprehensive R Archive Network. R is widely used in bioinformatics, with numerous libraries available as part of the BioConductor project.

See the R Project homepage for more information.

For queries about this topic, contact Richard Edwards.

View the calendar of events relating to this topic.

Projects

Automated selection of suitable atmospheric calibration sites for satellite imagery

Robin Wilson (Investigator)

Ground calibration targets (GCTs) play a vital role in atmospheric correction of satellite sensor data in the optical region, but selecting suitable targets is a subjective and time- consuming task. This project is developing methods to automatically select suitable GCTs, using a combination of remotely sensed multispectral and topographic data.

Integrated in silico prediction of protein-protein interaction motifs

Richard Edwards (Investigator), Kieren Lythgow

Many vital protein-protein interactions are mediated by Short Linear Motifs (SLiMs) which are short proteins typically 5-15 amino acids long containing only a few positions crucial to function. This project integrates a number of leading computational techniques to predict novel SLiMs and add crucial detail to protein-protein interaction networks.

Interactome-wide prediction of short linear protein interaction motifs in humans

Richard Edwards (Investigator)

Short Linear Motifs (SLiMs) are important in many protein-protein interactions. In previous work, we have developed a computational tool, SLiMFinder, which places the interpretation of evidence for motifs within a statistical framework with high specificity, and subsequently enhanced sensitivity through application of conservation-based sequence masking. We are now applying these tools to a comprehensive set of human protein-protein interactions in order to predict novel human SLiMs in silico.

Modelling Macro-Nutrient Release & Fate Resulting from Sediment Resuspension in Shelf Seas

Chris Wood

This study involves adapting a previously-published model to take into account the effect resuspension events (both natural and anthropogenic) may have on nutrient dynamics at the sediment-water interface, and hence produce better estimates for the total nutrient budgets for shelf seas.

Network Analysis of Roman Transport Routes in the Imperial Roman Mediterranean

David Potts

This research is designed to explore the nature of the relationships between Portus, Rome, and other selected ports in the Mediterranean and to establish patterns and the changing nature of trading networks derived from the distribution of known Roman artefacts.

Scalability of Energy Efficient Routing Algorithms in WSN

Davide Zilli

This project compares two broad classes of routing algorithms for Wireless Sensor Networks, message flooding and single path, by means of a simulation model. In particular, we want to understand how the two scale in terms of energy efficiency on large networks of sensors.

Structured low-rank approximation

Ivan Markovsky

Today's state-of-the-art methods for data processing are model based. We propose a fundamentally new approach that does not depend on an explicit model representation and can be used for model-free data processing. From a theoretical point of view, the prime advantage of the newly proposed paradigm is conceptual unification of existing methods. From a practical point of view, the proposed paradigm opens new possibilities for development of computational methods for data processing.

Tag based transcriptome analysis of gene expression in a promising green algae

Richard Edwards, Andreas Johansson

We use SuperSAGE in combination with next-generation sequencing to compare differences in gene expression between selected mutants and the wild type of a green algae. The data in the form of millions of 26 bp tags representing short stretches of expressed genes, will be analysed to find patterns of variation in gene expression under different conditions.

People

Andrew Collins
Professor, Medicine (FM)
Ivan Markovsky
Lecturer, Electronics and Computer Science (FPAS)
Reno Choi
Senior Research Fellow, Geography (FSHS)
Richard Edwards
Senior Research Fellow, Biological Sciences (FNES)
Guy Abel
Research Fellow, Social Sciences (FSHS)
Jane Gibson
Research Fellow, Medicine (FM)
Gunnar Mallon
Research Fellow, Geography (FSHS)
Jordi Arranz
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Ashley Booth
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Aleksander Dubas
Postgraduate Research Student, Engineering Sciences (FEE)
Pepe Falahat
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Tom Hebbron
Postgraduate Research Student, Electronics and Computer Science (FPAS)
James Heppell
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Joshua Jeeson Daniel
Postgraduate Research Student, Engineering Sciences (FEE)
Leo Jofeh
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Andreas Johansson
Postgraduate Research Student, National Oceanography Centre (FNES)
David Potts
Postgraduate Research Student, Humanities (FH)
Sonya Ridden
Postgraduate Research Student, Mathematics (FSHS)
Barbara Sander
Postgraduate Research Student, Chemistry (FNES)
Nick Synes
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Angela Watkins
Postgraduate Research Student, Biological Sciences (FNES)
Iain Weaver
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Robin Wilson
Postgraduate Research Student, Geography (FSHS)
Chris Wood
Postgraduate Research Student, Ocean & Earth Science (FNES)
Davide Zilli
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Matthew Higgins
Undergraduate Research Student, Biological Sciences (FNES)
Elena Vataga
Technical Staff, iSolutions
Petrina Butler
Administrative Staff, Research and Innovation Services
Kieren Lythgow
Alumnus, Health Protection Agency
Mohsen Mesgarpour
Alumnus, University of Southampton