Overview

The ARTIC methodology, which uses a tiled amplicon-based sequencing approach, has been instrumental in responding to outbreaks and epidemics like those of Ebola, Zika, and SARS-CoV-2. The technology is fast, portable, and robust, enabling real-time surveillance and epidemiological tracking of virus outbreaks.

The training is a collaboration between WACCBIP and the ARTIC network and will offer hands-on experience spanning the full workflow, from sample preparation to data interpretation, simulating viral genome evolution using synthetic nucleic acid controls. These materials are biologically inert and safe for handling, and provide scenario-realistic training. The participants will work on sequencing genomes based on a simulated outbreak scenario.

Who is this course for?

This course is intended for researchers and staff in academic and/or public health microbiology laboratories performing infectious diseases research, real-time virus surveillance, and/or outbreak epidemiology.
Participants should ideally:

  • Have a foundational knowledge in molecular biology
  • Be interested or have prior experience in applying genomics during outbreaks or public health investigations

Learning outcomes

On completion of the course, participants can expect to be able to:

  • Explain the advantages (and limitations) of portable viral sequencing technology for real-time epidemiological surveillance
  • Understand sample preparation and the use of appropriate experimental controls within the context of viral sequencing
  • Understand the principles of primer design for viral genome sequencing and perform PCR amplification of viral genomes
  • Prepare and load sequencing libraries for ONT sequencing
  • Monitor the sequencing run output (with MinKNOW and RAMPART)
  • Process raw sequencing data through bioinformatics pipelines, interpret the quality control outputs, and generate reports
  • Understand the components of a phylogenetic tree and interpret phylogenetic trees and epidemiological data

Tentative agenda

ARTIC Workshop Schedule

Session Time Day 1 - Thursday Day 2 - Friday Day 3 - Saturday   Day 4 - Monday Day 5 - Tuesday
  08:30 Arrival Arrival Arrival   Arrival Arrival
AM 1 09:00 Introductions - ARTIC, Instructors & participants Overview of next steps in lab protocol Demo/showcase of ONT flow cells, MinION, MinKNOW, EPI2ME   Intro to phylogenetics and phylodynamics Recap of the week
  09:30 Introduction to course, course overview Theory of SPRI, EP, barcoding (continued)   (continued) Computational analysis wrap up and Discussion
  10:00 Real world data talk (continued) (continued)   (continued) (continued)
Break 10:40            
AM 2 11:00 Introduction to genomic epidemiology Intro to lab in a suitcase Lab session 4 (adapter ligation, cleanup, library prep, flow cell checks, priming, loading)   Overview of ARTIC bioinformatics (fieldbioinformatics, Amplicon-nf, other tools) Discussion session 1: Result interpretation, deriving actionable epidemiological insights, conducting phylogenetic analyses
  11:30 (continued) Lab session 2 (PCR pooling, cleanup, quantification) (continued)   (continued) (continued)
  12:00 Intro to nanopore sequencing and ARTIC protocol overview (continued) (continued)   Computational session 1 (Running amplicon-nf) (continued)
  12:30 (continued) (continued) (continued)   (continued) (continued)
Lunch 13:00            
  13:30            
PM 1 14:00 Principles of safe sample handling, H&S, extraction of viral nucleic acids, RT-PCR Lab session 3 (EP, Barcoding, cleanup) Lab session 4 cont’d   Computational session 2 (going through results, SNP calling, building a tree, other analyses) Discussion session 2: BEAST/Phylodynamics Demo
  14:30 (continued) (continued) (continued)   (continued) (continued)
  15:00 Outbreak scenario overview (continued) (continued)   (continued) (continued)
Break 15:40            
PM 2 16:00 Overview of week/Group allocation Lab session 3 cont’d Sequencing monitoring, RAMPART, diagnosing problems, laptop bootcamp   Computational session 2 cont’d Discussion session 3: use of genomic data for real time epidemiology
  16:30 Lab session 1 (samples, samplesheet, multiplex PCR) (continued) (continued)   (continued) (continued)
  17:00 (continued) (continued) (continued)   (continued) Wrap up, Certificates, and awards
  17:30 (continued) (continued) (continued)   (continued) (continued)
End of day 18:00           Feedback collection
  18:30            

Note: Sessions marked with (continued) indicate that the activity spans multiple time slots. Day 3 (Saturday) and Day 4 (Monday) are separated by a day off (Sunday).

Requirements

The participants will require a laptop computer for individual or shared use.

Application
Applications should be submitted at https://redcap.link/bzxttagu by 10th January 2026. All enquiries regarding this workshop should first be directed to Lady Baaba Donkoh, lbdonkoh@ug.edu.gh. For participants who require a visa to travel to Ghana, they can be issued an invitation letter by Lady Baaba Donkoh, lbdonkoh@ug.edu.gh, which can be used as a supporting document for your application. More information on immigration can be accessed via https://gis.gov.gh/.

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