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Comparative genomics (CMGN01)

29th April 2019 - 3rd May 2019

£275.00 - £550.00

Course Overview:

This course will introduce biologists and bioinformaticians to the field of comparative genomics. The course will give a deeper understanding on the advantages and disadvantages of each of approach in general to enabling an informed decision of study design for the participants for future studies and learn the cutting edge approaches to process state of the art data sets. Different techniques will be introduced to identify single nucleotide polymorphism (SNP) and structural variations (SVs) as well as the annotation of these variations and the assessment for their functional impact.

We will give a broad introduction on how to:

  1. Process short and long read data based on multiple NGS data sets including mapping and de novo assembly
  2. Detect SNP and Structural Variations using de novo assembly, short  or long read mapping
  3. Assess the impact of the detected variations
  4. Perform population genetic analysis between multiple samples to obtain a deeper insight into these variants.

Furthermore, we will teach on how to install and manage these methods and give an introduction in Cloud computing. This will enable the participants to set up efficient pipelines on their own institutions. The course will conclude with the participants being aware of the state of the art approaches and a deepened knowledge to decide which study design is the optimal for future studies .


Intended Audience

This workshop is primarily aimed at researchers and technical workers with a background in biology, biomedical research and bioinformatics. It is intended to give a first overview on bioinformatic approaches for small sample sizes up to population scale studies. Prior knowledge on how to operate and navigate on a command line Linux environment is a plus, but not essential. Some time during the course will be dedicated to work on specific problems involving participants data sets with a team of instructors from the Baylor College of Medicine and Uppsala University.

Venue – PR informatics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 25 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English


• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Thursday evening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PR informatics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 28th April (between 5pm – 9pm) and departure Friday 3rd May (accommodation must be vacated by 9am).

To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.

Other payment options are available please email oliverhooker@prinformatics.com

Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prinformatics.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PRinformatics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PRinformatics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.

Dr. Fritz Sedlazeck

Dr. Matthias Weissensteiner

Teaching Format
Course Programme


29th April 2019
3rd May 2019
£275.00 - £550.00


PR informatics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
+ Google Map


25 available
CMGN01 ‘COURSE ONLY’£550.00'COURSE ONLY’ £550.00 Places 1-25
23 available