QIAGEN CLC Genomics

Pathogen detection and variant analysis using hybrid capture technology and QIAGEN CLC Genomics Workbench

266 views
July 21, 2023
The detection and surveillance of pathogens such as respiratory viruses, sexually transmitted pathogens, adventitious agents and antimicrobial-resistant bacteria are increasingly important in healthcare settings and environmental monitoring. The COVID-19 pandemic highlighted the importance of identifying and differentiating variants of concern. By applying the lessons learned from the COVID-19 pandemic to other pathogens of interest, it’s clear there’s a widespread need for the ability to target sensitive variants using next-generation sequencing (NGS) enrichment strategies and to analyze NGS data.

In this training, we'll use QIAGEN CLC Genomics Workbench to analyze NGS data generated from hybrid capture technology. Using data generated from QIAGEN HYB panels, you'll learn how to import, analyze and interpret NGS data. Specifically, you’ll discover:
1. How to import NGS data into QIAGEN CLC Genomics Workbench
2. How to analyze the data using template workflows;
3. How to interpret the results using the interactive graphics produced by the workflows;
4. How to modify the template workflows to accommodate custom panels

Related videos

QIAGEN CLC Genomics

QIAGEN CLC Main Workbench training

6,759 views December 21, 2020

Day 1: QIAGEN CLC Main Workbench Speaker: Shawn Prince, Sr. Field...

QIAGEN CLC Genomics

Biologically interpret your RNA-seq data with knowledge-based IPA

5,578 views September 22, 2017

This webinar will provide an overview of how to analyze data obtained from...

QIAGEN CLC Genomics

QIAGEN CLC Genomics Workbench 20 – scalable desktop software for NGS data analysis

4,940 views January 28, 2020

In this webinar, Leif Schauser, Ph.D., Director Product Management Genome...

QIAGEN CLC Genomics

Data analysis on day one - Taxonomic and functional microbiome profiling with the Microbial...

3,549 views December 20, 2017

In this webinar, we will introduce the scientist-friendly Microbial Genomics...