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 mpi-inf.mpg.de (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.