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Bioinformatics & Statistics

The predictive and systems approaches made possible by the new post-genomic technologies requires teams of ‘wet’ biochemists and biologists to work in partnership with ‘dry’ scientists - mathematicians, computer scientists and software engineers. The purpose of the IFR Bioinformatics and Statistics Team is to meet this requirement by providing a resource base with key skills in statistics, modelling and mathematical programming.

IFR has traditionally had a major investment in analytical techniques (NMR, MS, GC/MS, LC/MS) and has also embraced the post-genomic arena (transcriptomics, proteomics). The data produced by all of these are megavariate - several thousand numerical values generated from each specimen examined. It is recognised that advanced computational methods are essential in the analysis of these kinds of data sets.

The Bioinformatics and Statistics team has a wealth of experience in handling data from the analytical sciences. A long-standing collaboration is with the Institute's Metabolomics Team .

We collectively provide the Institute with the necessary resources in statistics, chemometrics and multivariate modelling, from which future data analysis needs can be met. Individual skills can be accessed by client researchers as required on a short, medium or long-term basis.

Research Leader

Kate Kemsley

 

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