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
Code

 

CS6012.000

 

 

 

 


Aktuelles

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.


Vorlesung

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


Übungen

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

 

Vorlesungsunterlagen

Biologische Grundlagen

Molekulare Werkzeuge

Datenbanken und Alignments

Microarrays

Next Generation Sequencing

Statistik

Klassifikation

Clustering

 

Übungsblätter

Übungsblatt 1

Übungsblatt 2

Übungsblatt 3

Übungsblatt 4

Übungsblatt 5

Übungsblatt 6

Übungsblatt 7

Sonstiges

Einführung in R

PAM250.RData

Animation: k-Means

Animation: Perzeptron

normal_vs_prostate_tumor.RData

mapping_table.RData

test_data.RData

multTest.RData

Klausur

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

 

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 "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 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.