Next Generation Sequencing
04–08 April 2022
Wellcome Genome Campus, UK
Hands-on training in the latest next generation sequencing systems.
Please note: Due to the ongoing Covid-19 pandemic, the 2021 Next Generation Sequencing course will once again be delivered in a virtual format.
Next generation sequencing has become the premier tool in genetic and genomic analysis. This lab course is directed at scientists who will be generating and interpreting sequence information in their research and wish to gain a better understanding of the platforms and techniques involved, and their applications.
The programme will include theoretical and practical information on next-generation sequencing systems currently available and those on the near horizon. Technologies will be chosen from short- and long-read sequencing platforms including,
- Illumina Miseq/HiSeq
- Oxford Nanopore MinION
A key aim of the course is to allow participants to make informed decisions about which technology to apply to solve specific research questions they may face in the future. A variety of applications will be covered, e.g.,
- target enrichment
- bacterial sequencing
- cancer genomics
- human variation analysis
All the basic techniques of post-sequencing analysis will also be covered in hands-on sessions (QC, alignment, assembly, variant calling)
Target audience: Applicants should be postdoctoral scientists, senior PhD students or junior faculty members actively engaged in or soon to commence research involving next generation sequencing instrumentation.
Please note: For the data analysis components of the course, applicants will require a working knowledge of the UNIX/Linux operating system. This can be obtained by various methods and is essential to fully benefit from the course. There are numerous online introductory tutorials to the UNIX/Linux operating system and command line, including:
This course is not meant to replace the manufacturers’ training normally supplied with new instruments, nor is it intended to be a training course for those solely interested in next generation sequencing data analysis (please refer to our website for dedicated bioinformatics courses).
As a virtual course, we will use video conferencing (Zoom) and instant messaging (Slack) applications along with other online and virtual machine (VM) teaching resources to deliver the different elements of the course as interactively as possible.
The course will run approximately 10:00-17:00 (BST) daily. Some teaching materials will be pre-recorded but participants must be available to attend live, interactive sessions online between these times.
The programme will include virtual lectures, discussions and hands-on, interactive sessions covering the following topics:
- Making high-quality libraries from samples
- Overview: Motivation and fundamental concepts
- Detailed description of prominent sequencing technologies: current and emerging platforms
- preparing chips for sequencing and performing sequencing runs on various platforms
- Data QC: How to determine if a run has performed well
- Alignment to a reference, SNP and structural variant-calling of next generation data
The course will also include seminars by invited speakers, who will highlight their ground-breaking work in the applications of next generation sequencing.
On completion of the course, participants should be able to:
- prepare high quality libraries for NGS
- set up a sequencing run
- critically assess a sequencing run and distinguish between good and poor-quality data
- appreciate the advantages and disadvantages of different sequencing technologies
- process data, align and call variants
Instructors and speakers
Wellcome Sanger Institute, UK
Wellcome Sanger Institute, UK
Wellcome Sanger Institute, UK
How to apply
For the data analysis components of the course, applicants will require a working knowledge of the UNIX/Linux operating system. This can be obtained by various methods and is essential to fully benefit from the course. There are numerous online introductory tutorials to the UNIX/Linux operating system and command line, including:
How to Apply
Please complete the online application form. Places are limited and will be awarded on merit. If you have any problems with the online application process, please contact us.
Please note: Applications must be supported by a recommendation from a scientific or clinical sponsor (e.g. supervisor, line manager or head of department). A request for a supporting statement will be sent to your nominated sponsor automatically during the application process. Applicants must ensure that their sponsor provides this supporting statement by the application deadline. Applications without a supporting statement cannot be considered.
Successful applicants will be provided with a support letter for their visa application, if required.
Please visit the following websites for further information on visiting the UK:
*The course fee is subsidised by Wellcome Connecting Science Courses and Conferences and applies to non-commercial applicants. Please contact us for the commercial fee.
Limited bursaries are available (up to 50% reduction on the course fee) and are awarded on merit. If you would like to apply for a bursary, please complete the bursary section of the online application form.
Where there are many bursary applications, the selection committee may issue smaller amounts.
Bursaries can be applied for as part of the course application form. Applicants will be notified of a bursary award along with their place on the course, usually within one month of the application deadline. The decision of the selection committee is final.
Please note that both the applicant and sponsor are required to provide a justification for the bursary as part of the application.
Additional funding opportunities
Visit our support page for additional financial support currently available.
“This is the best course I ever attended. It was very well organized. I found the instructors very approachable and willing to help”
“Thanks so much for putting this course together, organising it so smoothly and for such a great time!”
“I really loved the course, thanks so much to everyone involved.”