SARS-CoV-2 Bioinformatics Training


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The NGS Academy forms part of the Africa CDC Pathogen Genomics Initiative (PGI). This initiative is funded by the Bill & Melinda Gates Foundation. Our training initiatives are carried out in partnership with the African Society for Laboratory Medicine (ASLM).

Course overview:

The SARS-CoV-2 Bioinformatics Training was a follow-up to our SARS-CoV-2 NGS training. The focus for the modules was more advanced bioinformatics analysis, data curation and dissemination of findings from SARS-CoV-2 NGS data.

Intended audience:

Personnel of national public health institutions on the African continent, carrying out bioinformatics analyses, and individuals involved in SARS-CoV-2 research.

...
  1. A pre-course workshop was presented from 5-7 October 2021. A number of topics relevant to the course were introduced, including:
    • 1. Unix, command line
    • 2. Git, version control
    • 3. High perfomance computing

Logistics:


  1. Venue of course: Online through Zoom
  2. Dates for the course: 11 October 2021 - 19 November 2021
  3. Participation: The course was available to any participant who was able to attend the Zoom sessions and the interactive hours with the course instructors for the days of the course
  4. Participant applications
  5. Registration for participants opened: 13 September 2021
  6. Registration for participants closed: 30 September 2021
Objectives and expected outcomes:
  1. The course was designed for individuals who were currently, or would be, involved in bioinformatics analysis of SARS-CoV-2 data. The training focused on key topics such as data curation and sharing, advanced bioinformatics analysis, and presenting data to inform policy makers.
Course curriculum:
  1. Module 1 Workflows for SARS-CoV-2 analysis
  2. Module 2 Data curation and sharing
  3. Module 3 Advanced bioinformatics analysis
  4. Module 4 Presenting data to inform policy
  5. Recommended materials: Model bioinformatics analysis

Course schedule:

Date Course materials Training partner Interactive Sessions with Instructor/s
5-7 Oct 2021
     
  • H3ABioNet/The Carpentries
  • Trainers: Gerrit Botha, Kauthar Omar, Lyndon Zass, Ruth Nanjala, Verena Ras, Ziyaad Parker
  • Helpers: Chaimae Samtal, Nihad Alsayed

Date Course materials Training partner Interactive Sessions with Instructor/s
Mon, 11 Oct 2021
Module 1 Session 1      
  • KEMRI-Wellcome Trust
  • PHA4GE/SANBI
  • Dr George Githinji
  • Peter van Heusden
Tue, 12 Oct 2021
Module 1 Session 2
  • KEMRI-Wellcome Trust
  • PHA4GE/SANBI
  • Dr George Githinji
  • Peter van Heusden
Thur, 14 Oct 2021
Module 1 Session 3
  • KEMRI-Wellcome Trust
  • PHA4GE/SANBI
  • Dr George Githinji
  • Peter van Heusden

Date Course materials Training partner Interactive Sessions with Instructor/s
Mon, 18 Oct 2021
Module 2 Session 1      
  • PHA4GE, Simon Fraser University
  • Dr Emma Griffiths
Tue, 19 Oct 2021
Module 2 Session 2
  • ENA
  • NCBI
  • Carla Cummins
  • Ilene Mizrachi, Linda Yankie, Lydia Fleischmann, Rick LaPoint
Thur, 21 Oct 2021
Module 2 Session 3
  • KRISP/CERI
  • San Emmanuel James, Houriiyah Tegally

Date Course materials Training partner Interactive Sessions with Instructor/s
25, 26 & 29 Oct 2021
     
  • MRIGlobal
  • Fogarty International Center, NIH
  • Alan Shteyman, Dr Joe Russell
  • Dr Nídia Trovão, Dr James Otieno

Date Course materials Training partner Interactive Sessions with Instructor/s
2-12 Nov 2021
Module 3      
Phylodynamics
  • Fogarty International Center, NIH
  • Dr Nídia Trovão, Dr James Otieno
2-12 Nov 2021
Module 3
  • Evolutionary Temporal Patterns
  • Bedford Lab at the Fred Hutch
  • Dr John Huddleston
2-12 Nov 2021
Module 3
  • Spatiotemporal dynamics
  • Chan Zuckerberg Biohub
  • Dr Alli Black
2-12 Nov 2021
Module 3
  • CBIO, UCT
  • A/Prof Darren Martin
2-12 Nov 2021
Module 3
Phylodynamics - Discrete Phylogeography
  • Fogarty International Center, NIH
  • Dr Nídia Trovão, Dr James Otieno