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European Biopharmaceutical Review

Data-Mining - The Magic Eye of Informatics?

In the post-genomic era, any biological scientist must cope with the increasingly large volumes of complex data that is relevant to their research. This is inevitable given the exponential rate of data creation and the ability to expose and share this data via the Internet. A direct consequence of this reality is an increase in pressure on researchers to learn about and use sophisticated data analysis techniques. It is actually the complexity, rather than the volume, of data that makes modern research challenging. Working with large volumes of data is an IT problem that many computer manufacturers can solve, but these hardware solutions - and to a certain extent software solutions - do not necessarily relate to the problem of how complex data may be interpreted by a scientist.


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By Dr Jonathan Heal, Director of Informatics, and Dr Jonathan Swinton, Senior Computational Biologist at Proteom Ltd

Dr Jonathan Heal is a Microsoft Certified Solution Developer and is Founder and Director of Informatics at Proteom Ltd - a drug discovery company using proprietary informatics to predict novel drugs in the absence of a protein structure.
He has a degree and PhD in Chemistry from Imperial College London and has worked as a Software Developer in both the finance and pharmaceutical sectors.

Dr Jonathan Swinton is currently Senior Computational Biologist at Proteom Ltd. Jonathan has a degree in Mathematics from the University of Cambridge and a PhD in Mathematical Modeling from Imperial College London.
He worked for some years as a Mathematical Biologist at the universities of London, Oxford and Cambridge, with a focus on infectious disease immunology and epidemiology.

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Dr Jonathan Heal
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Dr Jonathan Swinton
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