Paccanaro Lab 2010-08-09T16:52:57Z http://paccanarolab.local:1984/feed/atom/ WordPress ataul <![CDATA[Welcome!]]> http://paccanarolab.local:1984/?p=18 2010-08-09T16:52:57Z 2009-06-16T20:07:33Z

SCPS

Cluster ONE

BioSynLab

News

  • Apr 2010
    We have released the first downloadable version of Cluster ONE, an overlapping clustering method for weighted biological networks. Cluster ONE is available as a standalone command-line application or as a Cytoscape or ProCope plugin for Windows, Linux and Mac OS X.
  • Mar 2010
    Prajwal Bhat recently won the Westfocus Bright Ideas 2010 competition for his business plan for bio-bleaching in Kraft paper mills. The plan proposed engineering yeast strains to produce cost-effective and industrially robust enzymes which could replace a greater amount of toxic oxidizing agents in the paper manufacturing process than currently feasible. Click here for the RHUL press release.
  • Jan 2010
    The first public version of SCPS, a user-friendly implementation of our spectral clustering method has been released. Click here to download the tool for Windows, Linux or Mac OS X.
  • May 2009
    A fully funded PhD position is available. Click here for more information.
  • March 2009
    The recently published PNAS paper of Tara Gianoulis et al on metabolomics is highlighted in Science.
  • February 2009
  • November 2008
    First release of BioSynLab®, a software tool for the analysis of large metabolic datasets (joint work with Dimitrios Zervas and Paul Fraser). Check out the Royal Holloway press release.

Our group develops novel computational methods for answering biologically motivated questions. We focus on developing and applying machine learning, statistical modeling and pattern recognition techniques for solving problems in Systems Biology. We collaborate very closely with experimental biologists who validate our models and provide useful feedback to improve their predictive power. Our ultimate goal is translational research and discovery bioinformatics through approaches that integrate molecular and systems data to further our understanding of organismal biology in health and disease. To know more about our research, please check out our projects page.

Contact information

Dr Alberto Paccanaro
Department of Computer Science
Royal Holloway, University of London
Egham, TW20 0EX
UK

Phone: +44 1784 414239
Fax: +44 1784 439786
Email: alberto – at – cs.rhul.ac.uk
(replace -at- with @ )

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