Chris Musselle - Postdoctoral Researcher
Department of Computer Science
University of Bristol
The Merchant Venturers Building
Woodland Road
Bristol BS8 1UB, United Kingdom

Phone: +44 (0)7507 037003
Email: chris.musselle@bristol.ac.uk

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Current Research

My current reaserch project is in Population Genetics and jointly supervised by Mark Beaumont (PI) and Julian Gough. The work is looking at how next generation sequencing technologies can be harnessed to analysie genetic variability at the population level. Specifically, my focus at current is on utilising Restriction-site Associated DNA Sequencing (RAD-seq). I am currently developing a series of computational tools to serve as a pipline for data analysis and manipulation, so as to facilitate the discovery and quantification of variant regions in organisms with an unknown genome.

Background


Research Interests

  • Popuation level genetic variability analysis.
  • Next generation sequence analysis using Restriction-site Associated DNA Sequencing (RAD-seq).
  • Machine Learning, data analysis, knowledge discovery and atrificial intelligence.
  • Online time series and multiple data stream analysis.

Publications

  • C. Musselle. Data Fusion Techniques for Temporal Correlation and Anomaly Detection in Data Streams, PhD thesis, University of Bristol, 2012.
  • C. Musselle. Rethinking Concepts of the Dendritic Cell Algorithm for Multiple Data Stream Analysis. In 11th International Conference on Artificial Immune Systems (ICARIS), volume 7597 of LNCS, pages 246-259. Springer Berlin / Heidelberg, 2012.
  • C. Musselle. Insights into the Antigen Sampling Component of the Dendritic Cell Algorithm. In 9th International Conference on Artificial Immune Systems (ICARIS), volume 6209 of LNCS, pages 88-101. Springer Berlin Heidelberg, 2010.

Organisations and Funding