In this course, we will cover genome analysis, variant analysis, and pangenomics. Core concepts, applications, and future trends will be discussed, with a focus on the algorithms and data structures underlying state-of-the-art methods. The course offers an engaging mix of lectures, paper discussions, hands-on tutorials, and a do-it-yourself project.
Course coordinators
- dr. Thomas Abeel (TU Delft)
- dr. Sandra Smit (Wageningen University)
- dr. Jasmijn Baaijens (TU Delft)
Course credits
The study load of this course is 1.5 ECTS credits. Participants will get a certificate after successfully completing this course.
Course overview
Comparative genomics aims to compare large sets of genomes in order to understand and explain differences in traits of an organism. Contemporary methods are powered by fundamental algorithms and data structures, which are efficient and scale to large data sets. A thorough understanding of these algorithms and data structures is necessary for advanced users and developers in this area. In addition, understanding how comparative genomics is developing is important to shape your own research.
In this course, we will cover genome analysis, variant analysis, and pangenomics. Core concepts, applications, and future trends will be discussed, with a focus on the algorithms and data structures underlying state-of-the-art methods. The course offers an engaging mix of lectures, paper discussions, hands-on tutorials, and a do-it-yourself project.
Target audience
The course is aimed at PhD students with a background in bioinformatics, computer science or a related field. Participants are expected to have experience in command-line usage (Unix shell) and programming (Python), and have basic knowledge of genomics.
Participants are expected to bring their own laptop.
Learning outcomes
After having followed this course, the student has a good understanding of algorithms and data structures in comparative genomics, is able to implement algorithms in python, and is able to read and understand method papers in bioinformatics.
More information
For more information about the course programme you can contact dr. Thomas Abeel.
Registration
<<Please note that the registration form has closed because the maximum number of participants has been reached>>
There is a small chance that a larger venue can be booked. Therefore, we are opening up the possibility of a waiting list. If you would like your name on this, please send an email to Petra.Aarnoutse@health-RI.nl with the subject line ‘Waiting List for ‘Algorithms for Genomics’.
Fees for this 5-day course are:
- PhD student: 480 euro (excl. VAT)
- Academic researcher (PI/Postdoc): 720 euro (excl. VAT)
- Industry: 1080 euros (excl.VAT)
The course fee includes:
- Course material: Handouts, tutorials, required software will be made available online.
- Catering: Coffee, tea and soft drinks and lunch will be provided.
Participants are expected to bring their own laptop.