MalariaGEN Call for Applications: Training course in data analysis for genomic surveillance of African malaria vectors 2024
The Malaria Genomic Epidemiology Network (MalariaGEN) are pleased to announce a free online “Training course in data analysis for genomic surveillance of African malaria vectors” to be held in 2024. The course will be delivered jointly by MalariaGEN and the Pan-African Mosquito Control Association (PAMCA).
Date: March13th, 2024 to May 22nd, 2024.
Place: online via Zoom and Slack.
Course objectives:
The goal of this course is to introduce some practical techniques for the analysis of genomic data for surveillance of Anopheles mosquitoes. At the end of the course, trainees will be able to:
- Perform a range of analyses on Anopheles genomic data that are relevant to malaria vector surveillance
- Describe key biological concepts underpinning the analyses
- Describe key computing technologies used for the analyses
- Interpret analysis results and discuss implications for malaria vector control policy
Course curriculum:
The training course comprises 8 workshops, covering the following topics:
- Workshop 1 – Pyrethroid target-site resistance
- Workshop 2 – Metabolic insecticide resistance and copy number variation
- Workshop 3 – Population structure
- Workshop 4 – Cryptic species
- Workshop 5 – Genetic diversity
- Workshop 6 – Detecting genes under recent positive selection
- Workshop 7 – Gene flow and the spread of insecticide resistance
- Workshop 8 – Analysis planning and reporting
Trainee profile and requirements:
This course is aimed at scientists and public health professionals working in the field of malaria vector surveillance and control and meeting the following requirements.
- This is a hands-on training course. Trainees will require some prior experience of data analysis using scientific programming such as Python, R, Julia or Stata. The course will be conducted using the Python programming language.
- Data analysis will be performed using cloud computing services which can be accessed via a Web browser. Trainees will require access to a personal computer with a Web browser and stable internet connection.
- The training workshops will be designed to complement each other, building up a series of analytical skills and progressively introducing biological concepts and computing tools throughout the course. Trainees should ideally be in a position to complete the full course of 8 workshops.
Read more here.
Application deadline January 12, 2024.
