WCIP Bioinformatics

WCIP Bioinformatics

comics - data bioinformaticsBioinformatics is an interdisciplinary field that utilises and develops software tools for understanding large volumes of biological data. It combines computer science, statistics, mathematics, and engineering. Our team at the WCIP provides research support and collaboration, as well as developing independent avenues of research in computational parasitology. It is the goal of this group to apply their expertise in order to increase the throughput and impact of WCIP research.The Bioinformatics team are based in the Sir Graeme Davies Building, University Place, and would be happy to discuss any ideas that you might have relating to your own research. 

Meet the team

Meet the  Team

Jon Wilkes
Jon spent the first portion of his career as a biochemist, studying membrane transport mechanisms - latterly as they related to the drug sensitivity/tolerance of Trypanosomes. He subsequently retrained in Information Technology, undertaking an M.Sc. here at Glasgow. Jon decided to apply these skills to bioinformatics, and has specialised in the following:

•  Phylogenetic analysis and evolutionary history.
•  Probablistic sequence analysis (e.g. profiles, hidden markov models).
•  Machine learning methods for sequence recognition.
•  Design and implementation of data pipelines.
•  General programming and data analysis skills.
•  Database administration and evolution.
•  Software and algorithm evaluation

This is not an exhaustive list, and Jon is always keen to extend his knowledge and experience.

Kathryn Crouch‌

‌Bioinformatician and Software Developer‌

‌Kathryn's early career was as an immunologist, specifically in host-pathogen interactions.  She has since retrained in Bioinformatics and is embedded in the team to work on EuPathDB -related projects.  She is a key member of the WCIP team responsible for integrating data generated within the Centre into EuPathDB databases and developing analysis methods for new types of data.  Some of Kathryn's specialisms are:

• Software development – especially Python and R
• Database programming – Oracle & MySQL
• Research data analysis pipelines
• High-throughput sequence analysis
• Metabolomics

Kathryn is always keen to investigate new and interesting data analysis techniques, and is especially key to join research projects that combine her bioinformatics skills and immunology knowledge.