Kafatos:MacCallum, Bob

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Bob MacCallum Division of Cell & Molecular Biology SAF Building South Kensington Campus Imperial College London London SW7 2AZ, UK r.maccallum [at] imperial.ac.uk http://twitter.com/bobmaccallum +442075941945

I am a VectorBase Developer in the Kafatos/Christophides Lab at Imperial College, London
.

Research Interests

• Functional and population genomics data integration into VectorBase, with a current focus on microarray-derived gene expression data and population biology.
• Protein structure and function prediction (see my former homepage for predictors of protein disorder, residue-residue contacts and nuclear localisation)
• Evolutionary computation (see PerlGP)
• Regulatory DNA sequence analysis
• Medical informatics (collaboration with David Nelson at Karolinksa University Hospital, Stockholm, Sweden)

Other Interests

• Evolutionary music: DarwinTunes
• Fooling around with web search stats: Compare Stuff

Education

Undergraduate

Natural Sciences, Robinson College, University of Cambridge

Postgraduate

University College London, PhD under the supervision of Prof. Janet Thornton

Publications

Here is a link to PubMed which automagically lists my publications.

Here are three more which are not in PubMed:

1. Authors

   Togelius, J; et al.

   Title

   The 2007 IEEE CEC simulated car racing competition

   Source

   Genetic Programming and Evolvable Machines, 2008

2. Authors

   Aggarwal, V; MacCallum, RM

   Title

   Evolved matrix operations for post-processing protein secondary structure predictions

   Source

   GENETIC PROGRAMMING, PROCEEDINGS, 3003: 220-229 2004

   Book series title

   LECTURE NOTES IN COMPUTER SCIENCE

3. Authors

   Heddad, A; Brameier, M; MacCallum, RM

   Title

   Evolving regular expression-based sequence classifiers for protein nuclear localisation

   Source

   APPLICATIONS OF EVOLUTIONARY COMPUTING, 3005: 31-40 2004

   Book series title

   LECTURE NOTES IN COMPUTER SCIENCE

4. Authors

   MacCallum, RM

   Title

   Introducing a perl genetic programming system - and can meta-evolution solve the bloat problem?

   Source

   GENETIC PROGRAMMING, PROCEEDINGS, 2610: 364-373 2003

   Book series title

   LECTURE NOTES IN COMPUTER SCIENCE