Working with Protozoan Parasite Database Resources - Africa (Virtual)
24–28 October 2022
Virtual (for Africa-based scientists)
Learn how to use online resources for genomic-scale data analysis of protozoan parasites.
This course aims to provide Africa-based biomedical researchers and scientists working on protozoan parasites with hands-on experience in genomic-scale data analysis; including genome browsers and comparison tools, primary data analysis, methods for data integration and resources for sophisticated data mining (including the VEuPathDB search strategy system).
Examples and exercises will be drawn primarily from the VEuPathDB.org resources focusing on protozoan parasites including Apicomplexa (i.e. Plasmodium, Toxoplasma & Cryptosporidium) and Kinetoplastida (ie. Trypanosoma & Leishmania). Applicants working on any organism included in these resources will benefit.
The intensive programme will combine hands-on exercises with lectures and discussions on genomics and bioinformatics techniques, along with seminars from distinguished regional guest speakers.
The course is free to attend and open to research scientists and clinicians/clinical scientists/healthcare professionals based in Africa working with protozoan parasitic organisms. Prior coding or bioinformatics knowledge is not required.
This is a virtual course, breakout rooms will be heavily used to ensure adequate teacher/student ratio and to foster active discussion. Lectures will be recorded and made available to students.
The course is open to scientists or healthcare professionals based in Africa working with protozoan parasitic organisms.
The programme will include lectures, discussions and practical computational sessions covering the following topics:
- Visualisation of sequence features and next generation sequencing data using the Artemis genome browser and annotation tool
- Genome browsing and comparative genomics (ACT and J/GBrowse)
- Formulating complex biological queries using the VEuPathDB search strategy system
- Web-based resources including the GeneDB.org and VEuPathDB.org and GalaxyIntegrating functional genomics data (RNA-seq, ChIP-seq, ChIP-chip, microarrays, proteomics, etc) with genome sequence data
- Theoretical aspects of genome re-sequencing
- Querying genetic diversity on a genome-wide scale
- Metabolic pathways and pathway and GO enrichment analysis
- Working with next-generation sequence data (mapping, variant calling, RNA-Seq etc) using both command-line and web-based (Galaxy) methods
- Introduction to community curation tools
- Participants are encouraged to bring their own data, to use in consultation and/or in-workshop analysis
After attending this course, participants should be able to:
- Use state-of-the-art bioinformatics software including web-based resources as well as in a UNIX-like environment to explore parasite datasets.
- Identify opportunities and limitations of the different methodologies in analysing parasite genomics data
- Apply software and web-based resources to visualise and analyse next generation sequencing datasets for parasitology research.
- Apply software and web-based services to browse genomes and to display genome comparisons.
- Integrate and query large-scale genomic and functional genomic databases to answer biology-related research questions and develop testable hypotheses
Applicants should be Africa-based scientists or healthcare professionals working with protozoan parasitic organisms.
Instructors and speakers
Instructors and Speakers
Institut Pasteur de Montevideo, Uruguay
Wellcome Sanger Institute, UK
University of Pennsylvania, USA
University of Ghana, Ghana
University of Glasgow, UK
Dinkorma Ouologuem Toure
Université des Science, Techniques et des Technologies de Bamako, Mali
How to apply
The course is open to scientists or healthcare professionals based in Africa working with protozoan parasitic organisms
How to Apply
Please click the Apply button above to begin the online application process. Places are limited and will be awarded on merit. If you have any problems with the online application process, please contact us.
Please note: Applications must be supported by a recommendation from a scientific or clinical sponsor (e.g. supervisor, line manager or head of department). A request for a supporting statement will be sent to your nominated sponsor automatically during the application process. Applicants must ensure that their sponsor provides this supporting statement by the application deadline. Applications without a supporting statement cannot be considered.