QIAGEN CLC Genomics

Isolate typing, strain identification and antimicrobial resistance analyses using QIAGEN CLC Genomics Workbench - Aug 25 2021

754 views
August 26, 2021
QIAGEN CLC Genomics Workbench is widely used to analyze bacterial, viral and eukaryotic (fungal) genomes and metagenomes. It provides tools and workflows for a broad range of bioinformatics applications, including microbiome analysis, antimicrobial resistance characterization and isolate characterization through SNP and K-mer trees using NGS data.

Topics covered in this 90-minute webinar include:
• An overview of the different tools within QIAGEN CLC Microbial Genomics Module and the research areas supported
• A focused review of isolate typing and characterization, including:
o Importing data
o Utilization of metadata
o Downloading and managing references
• Database of isolates/ resistances/ multi-locus sequence typing (MLST) analysis
o A walk-through of the ‘Type a Known Species’ workflow
- Review details for each isolate
o Creating SNP profiles to a specific reference
o Generate a SNP tree for isolate comparison
o Export tabular and high-quality graphical outputs in a wide range of file formats

Speaker: Shawn Prince, Ph.D., Field Application Scientist, QIAGEN Digital insights

Related videos

QIAGEN CLC Genomics

QIAGEN CLC Main Workbench training

5,963 views December 21, 2020

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

Web seminar recordings

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

5,505 views September 22, 2017

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

Discovery and Research

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

4,798 views January 28, 2020

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

Web seminar recordings

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

3,464 views December 20, 2017

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