Medical Systems Biology

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Einführung in die Bioinformatik(Informatik/ Mathematische Biometrie)

Dozent: Prof. Dr. Hans A. Kestler
  Prof. Dr. Enno Ohlebusch
  Dr. Karlheinz Holzmann
  mit M. Sc. Robin Szekely








Vorlesungsbeginn ist am 17.10.2018

Die erste Übung (Einführung in R und Ausgabe des ersten Übungsblatts) findet am 26.10.2018 statt

Die Besichtigung der Core Facility Genomics findet am 09.01.2019 statt. Treffpunkt ist um 8:30 in O27, 123.

Die Vorlesung am 30.01.2019 entfällt krankheitsbedingt. Die Übung am 01.02.2019 findet aber regulär statt.

Die Klausureinsicht zur ersten Klausur findet am 15.03.2019, 15:00-16:00 in O27/5116 (Besprechungsraum) statt.

Die Klausureinsicht zur Nachklausur findet am 03.05.2019, 09:30-10:30 in O27/548 statt.


Mittwochs 08:30 - 10:00 Uhr, O27, 123


Freitags 14:00 - 16:00 Uhr, O27, 121, ab 26.10.2018 alle zwei Wochen



Biologische Grundlagen

Molekulare Werkzeuge

Datenbanken und Alignments


Next Generation Sequencing






Übungsblatt 1

Übungsblatt 2

Übungsblatt 3

Übungsblatt 4

Übungsblatt 5

Übungsblatt 6

Übungsblatt 7


Einführung in R


Animation: k-Means

Animation: Perzeptron






Erster Termin: 26.02.2019, 10:00-11:30 Uhr, O27/H20

Zweiter Termin: 09.04.2019, 10:00-11:30 Uhr, N25/H8


Latest News


Our paper "Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives" has been published in the Journal of Medical Internet Research mhealth and uhealth.


Our paper "Identification of dynamic driver sets controlling phenotypical landscapes" has been published in the Computational and Structural Biotechnology Journal.

Congratulations to Dr. Silke Werle for winning the 1st Prize with her pitch at the 1. Science Day held by ProTrainU. 


Our paper "Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells" has been published in the Computational and Structural Biotechnology Journal.


The position paper "Is there a role for statistics in artificial intelligence" has been published online first in Advances in Data Analysis and Classification.


Our paper "Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective" has been published in Frontiers in Physiology.


Our paper "Corona Health - A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic" has been published in the International Journal of Environmental Research and Public Health.


Our paper "Patient empowerment during the COVID-19 pandemic: Ensuring safe and fast communication of test results" has been published in the Journal of Medical Internet Research.


Our paper "Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment" has been published in IEEE Access.