This week-long course aims to provide experimental biologists working on eukaryotic pathogens with hands-on experience in genomic-scale data analysis; including genome browsers and comparison tools, methods for data integration and resources for sophisticated data mining (including the EuPathDB search strategy system).

Examples and exercises will be drawn primarily from the and resources and will include a variety of eukaryotic parasitic organisms including Apicomplexa (ie. Plasmodium and Toxoplasma) and Kinetoplastida (ie. Trypanosoma and Leishmania). One important aspect is for the participants to understand the origin of the underlying data in the databases and how to analyse it. Applicants working on any organism included in these resources will benefit.

This course is a collaborative effort between the Parasite Genomics Group (Wellcome Trust Sanger Institute, UK), the Eukaryotic Pathogen Bioinformatics Resource Center (a multi-centre collaborative effort including the Universities of Georgia & Pennsylvania in the US and Liverpool in the UK), and the University of Malawi College of Medicine in Blantyre,

The majority of this intensive course will be based on hands-on exercises with lectures on genomics and bioinformatics techniques, in addition to keynote presentations by distinguished regional guest speakers.

Please note: The course is open to scientists and clinicins/healthcare professionals based in African institutes and there is no fee to attend. Bursaries are available to assist with travel and accommodation expenses. Places are limited and the course will be taught in English.

Learning outcomes
After attending this course, participants should be able to:

  • Comfortably work with state-of-the-art bioinformatics software both using online resources as well as in a UNIX-like environment
  • Have a good understanding of the application, opportunities, visualization and analysis of next generation sequencing datasets for parasitology research
  • Integrate and query large-scale genomic and functional genomic databases to answer biology-related research questions and develop testable hypotheses
  • Use software and web-based services to browse genomes, visualise next generation data and display genome comparisons

Application Deadline:

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