e-learning

Avian influenza viral strain analysis from gene segment sequencing data

Abstract

Of the four species of influenza viruses (Influenza A-D), Influenza A is the most virulent in human hosts and subtypes of it have been responsible for all historic flu pandemics.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • With reassortment of gene segments being a common event in avian influenza virus (AIV) evolution, does it make sense to use a reference-based mapping approach for constructing consensus genome sequences for AIV samples?
  • Is it possible to reuse existing tools and workflows developed for the analysis of sequencing data from other viruses?
  • How can we obtain meaningful phylogenetic insight from AIV consensus sequences?

Learning Objectives

  • Determine how reassortment impacts reference-based mapping approaches
  • Use a collection of per-segment reference sequences to construct a hybrid reference genome that is sufficiently close to a sequenced sample to be useful as a reference for mapping
  • Construct a sample consensus genome from mapped reads
  • Generate per-segment phylogenetic trees of AIV consensus sequences

Licence: Creative Commons Attribution 4.0 International

Keywords: Variant Analysis, one-health, virology

Target audience: Students

Resource type: e-learning

Version: 10

Status: Active

Prerequisites:

  • Introduction to Galaxy Analyses
  • Mapping
  • Quality Control

Learning objectives:

  • Determine how reassortment impacts reference-based mapping approaches
  • Use a collection of per-segment reference sequences to construct a hybrid reference genome that is sufficiently close to a sequenced sample to be useful as a reference for mapping
  • Construct a sample consensus genome from mapped reads
  • Generate per-segment phylogenetic trees of AIV consensus sequences

Date modified: 2024-10-04

Date published: 2022-11-21

Authors: Wolfgang Maier

Contributors: Wolfgang Maier

Scientific topics: Genetic variation


Activity log