Probabilistic Methods for the Analysis of Next Generation Sequencing Data

Probabilistic Methods for the Analysis of Next Generation Sequencing Data

General info

  • Introductory meeting: Nov 6, 2015, time 13:00-15:00, room 001 cluster building E1.7
  • Block seminar: 31 March- 1 April 2016, 9:00 till 16:00, room 001 cluster building 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
  • Tutors: 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 epigenetics and RNA sequencing 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.

Course material

Topics are available here: password protected area.

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