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Modern Pathogen Surveillance through NGS

Previously Aired on October 1st, 2024

Presenters:

Sion (Sean) Bayliss, PhD

Lecturer in Endemics, Epizootics, and Emerging Infectious Diseases
Bristol Veterinary School
View Biography

Stephanie Goya, PhD

Postdoctoral Researcher
University of Washington, Greninger Lab
View Biography

Benjamin Atha

(Moderator)
Managing Editor
SEQanswers

Please fill out the form on the right and click 'register' to sign up for the event.

The recent pandemic has highlighted the importance of effective pathogen surveillance. Join us for a webinar that explores recent advancements in pathogen genomics and epidemiology, with a focus on the critical role of next-generation sequencing (NGS) and machine learning.

Our experts will discuss research on the genomic diversity of human rhinoviruses, addressing the challenges and strategies for capturing this diversity. Additionally, they will examine how machine learning can accurately trace the geographical origins of gastrointestinal pathogens through large-scale genomic surveillance. Attendees will learn how these advanced technologies deepen our understanding of pathogen evolution and ways to apply them in their own studies.

What you will learn:

The challenges and strategies for capturing the genetic diversity of human rhinoviruses through next-generation sequencing
How hierarchical machine learning models can accurately trace the geographical origins of gastrointestinal pathogens, with a focus on Salmonella enterica
Insights into the evolutionary patterns of RV, including intergenotypic recombination and the implications for immunity
Practical applications of genomic epidemiology for rapid outbreak resolution and real-time surveillance for other pathogens and antimicrobial resistance prediction

Who should attend:

Genomics researchers
Epidemiologists
Bioinformaticians
Public health scientists
Microbiologists
Infectious disease researchers