Generating complete, reference quality microbial genomes with 'nanopore only' metagenomic sequencing
Recent advances in nanopore sequencing mean it is now possible for any lab to generate reference quality microbial genome assemblies without the requirement for short read or reference polishing – saving considerable time and cost. In this webinar, Dr. Lei Liu from Aalborg University, Denmark, will share his experiences of utilising 'nanopore only', long read sequencing to generate complete, high quality genome reconstructions from complex metagenomes.
Join this webinar to:
- Discover the importance of long reads for obtaining complete closed microbial genome assemblies
- Learn how the latest nanopore sequencing chemistry can deliver metagenomic consensus accuracies of Q50 (99,999%)
- Hear how researchers at Aalborg University are applying 'nanopore only' approaches to generate affordable, reference quality genome assemblies from complex environmental samples
- Find out how 'open source' analysis tools, such as NanoPhase, streamline the generation of metagenome assembled genomes
For more information, please contact us at webinar@avantorsciences.com
Presented by:
Stephanie has over 7 years of genomics industry experience. She began her career at Azenta (formerly known as Genewiz) in a project management role, supporting biotech and pharmaceutical researchers with next generation sequencing solutions. For the last 4 years, she has worked at Oxford Nanopore Technologies, first in an inside sales role and, more recently, as the Distribution Sales Manager for North America, where she supports the development of a streamlined partnership with Avantor. | ||
Lei is a post doc in the department of chemistry and bioscience at Aalborg University, Denmark, where he utilises high throughput nanopore sequencing to generate reference quality genome reconstructions from global wastewater treatment facilities. Lei received his PhD from the University of Hong Kong, where he used first hybrid, and then 'nanopore only' long read sequencing strategies to generate high quality genome assemblies from environmental samples. | ||