Probabilistic Methods for the Analysis of Next Generation Sequencing Data

Probabilistic Methods for the Analysis of Next Generation Sequencing Data

General info

  • Introductory meeting: 6th February, 2017, time 13:00-15:00, room 008 E1.7 (MMCI building)
  • Block seminar: 20-21 March 2017, 9:00 till 16:00, room 001 E1.7. Reports have to be handed in until one week before the seminar.
  • You get 7 credit points
  • Master students are eligible
  • Limit of 12 participants
  • Participation in the introductory meeting and block seminar is mandatory
  • Tutors (depending on the topic): Fatemeh Behjati, Azim Dehgani Amirabad , Florian Schmidt
  • Required to follow the seminar: Basic knowledge of genetics
  • Recommended lectures: Bioinformatics 1-3, The Elements of Statistical Learning I or Machine Learning
  • Registration: Please send an email to mschulz at (topic: Seminar Probabilistic Methods for Analysis of Next Generation Sequencing Data)

Course overview

Next Generation Sequencing (NGS) methods have revolutionized genetics. Applications of these technologies to e.g. genome or transcriptome sequencing create computationally challenging analysis problems. This seminar covers recent literature about new algorithmic and statistical developments that apply probabilistic methods to the analysis of NGS data. There will be a particular focus on the analysis of single cell and epigenetics data.
Every student will give a 45 minute presentation on the assigned topic and will also hand in a report of 10-12 pages.

Details introductory meeting

Participants that have registerd to the seminar need to attent the introductory meeting, where the topics are assigned and general rules of the seminar are explained.


The schedule of the talks is available here .

Course material

Topics are available here: password protected area.

Information about how to make a good presentation can be found here.