Medical Systems Biology

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Einführung in die Bioinformatik

Dr. Hans A. Kestler, Prof. Enno Ohlebusch, Dr. Karlheinz Holzmann
mit Dipl.-Inf. Johann M. Kraus (Übungsleiter)

Veranstaltungsnummer: CS6012.000, CS6012.001 und MED 90052


Vorlesungsunterlagen

1. Vorlesungszeiten und Ankündigung

  • Vorlesung: Mittwochs, 8:30-10:00 Uhr, Raum 123, O27
  • Übung: Freitags, 14:00-16:00 Uhr, Raum 121, O27

 

  • Besichtigung der Chip-Facility am Mi. 12.01.11 9.00 Uhr

 

  • Prüfungstermine:

    Sa. 19.02.10, 14.00 - 15.00 Uhr, H8
    Sa. 09.04.10, 10.00 - 11.00 Uhr, H7

  • Klausureinsicht (Noten sind im LSF eingetragen):

    Fr. 04.03.11, 10.00 - 11.00 Uhr, N27/2.074
    Fr. 04.03.11, 14.00 - 15.00 Uhr, N27/2.074


    Am Freitag, den 26.11.2010 findet die Übung in Raum 429, O27 statt.

    Für Interessierte: Am Dienstag, den 21.11.2010 8.00 - 13.00 findet das Symposium Innere Medizin / Gastroenterologie statt. Nähere Informationen finden Sie hier.


2. Inhalt und Themen


Die Veranstaltung vermittelt Grundkenntnisse der Bioinformatik im Hinblick auf künftige Tätigkeitsfelder von (Medizin-) Informatikern im Bereich der molekularen Medizin und Biotechnologie. Es sollen Grundlagen und praktisch verwendbare Kenntnisse und Fähigkeiten vermittelt werden, die es erlauben DNA- und Proteinsequenzen zu vergleichen und zu analysieren, sowie Modelle zu entwickeln.

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.