MalariaGEN Call for Participants: Training course in data analysis for genomic surveillance of African malaria vectors 2025

MalariaGEN and the Pan-African Mosquito Control Association (PAMCA) are pleased to announce an online training course to be held in 2025 on “Analysis for genomic surveillance of African malaria vectors“. The course will run for 11 weeks with 8 whole-day workshops throughout the period on Wednesdays. There will be a week break interval after every two consecutive workshops.

Dates: April 2 to June 11, 2025
Location: Virtual

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:

  1. Perform a range of analyses on Anopheles genomic data that are relevant to malaria vector surveillance
  2. Describe key biological concepts underpinning the analyses
  3. Describe key computing technologies used for the analyses
  4. Interpret analysis results and discuss implications for malaria vector control policy

Trainee profile and requirements:

This course is aimed at African scientists and data analysts working in the field of malaria vector surveillance and control who meet the following requirements:

  1. This is a hands-on training course. Trainees will require some prior experience in data analysis using scientific programming such as Python, R, Julia, or Stata. The course will be conducted using the Python programming language.
  2. 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 a stable internet connection.
  3. 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 1, 2025.

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