Medical Systems Biology

You are here:  Teaching > WS2012/2013 > Einführung in die Bioinformatik (Molekulare Medizin)

Einführung in die Bioinformatik (Molekulare Medizin)

PD Dr. Hans A. Kestler

Übungsleiter: Dipl.-Inf. Ludwig Lausser

Veranstaltungsnummer: MOME0504

1. Aktuelles

Die Vorlesung findet Dienstags 08:30 - 10:00 Uhr in H21 in O28 statt.

Die Übung findet Dienstags 12:30 - 14:00 Uhr in Raum 3005/3006 in O29 (Lehrgebäude Medizin PC-Pool) statt.

Vorlesungsbeginn 23.10.2012

Erster Prüfungstermin (geschlossene Klausur) Di 19.02.2013. Ort: Klinikhörsaal. Zeit: 8.30 Uhr - 9.30 Uhr

Zweiter Prüfungstermin (geschlossene Klausur) Di 10.04.2013. Ort: tba. Zeit: 15.00 Uhr - 16.00 Uhr.

Besichtigung der Genomics-Facility:
Di. 15.01.2013 um 8.30 Uhr (Gruppe A) und 9.15 Uhr (Gruppe B)
Treffpunkt: Eingang zum Zentrum für Biomedizinische

Latest News


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 "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.


Our paper "Capturing dynamic relevance in Boolean networks using graph theoretical measures" has been published online first in Bioinformatics.


Our report protocol "Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol" has been published in PLoS One.


We are happy we could contribute to Beutel et al (2021) "A prospective Feasibility Trial to Challenge Patient-Derived Pancreatic Cancer Organoids in Predicting Treatment Response" published in MDPI Cancers.