Medical Systems Biology

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Bioinformatics and Systems Biology (MolMed)

Coordinator: Prof. Dr. H. A. Kestler

Code: MOME.Ma1002

 


Announcement:

Start of lectures:

Tuesday, 22.10.2019 (14:00 - 16:00)

 

Room changes:

Thursday, 24.10.2019 (16:00 - 18:00): O29, 3004

Tuesday, 31.10.2019 (14:00 - 16:00): O29, 3005/3006

Thursday, 28.11.2019 (14:00 - 16:00): O23, 2609/10

 

Lectures:

Tuesday (14:00 - 16:00): seminar room surgical clinic 3.391 

Thursday (14:00 - 16:00): O23, 2611 

 

Exercises:

Thursday (16:00 - 18:00): O29, 3005/3006

 

Exam:

The post-exam review will take place on 11.02.2020 (12:00-13:00) in room O29/2003.


Friday, 07.02.2020 (10:00 - 12:00): Hörsaal Chirurgie (Lecture Hall Surgery)

 

Slides:

Introduction

Signalling

Epigenetics

Programming with R and Bioconductor

Multivariate Statistics

Data Mining

High throughput technologies

Mass spectrometry and Proteomics - basics

Bioinformatics in MS based qualitative and quantitative proteomics

Mass spectrometry and Proteomics - NewDrugs

Sequence Analysis

Sequence Analysis - Manuscript

Simulation and modeling

Mathematical analysis of cell function

Boolean Networks

Qualitative Models Extensions

Quantitive Models

Exercise sheets:

Exercise sheet 1

Exercise sheet 2

Exercise sheet 3

Exercise sheet 4

Exercise sheet 5

Exercise sheet 6

Exercise sheet 7

Exercise sheet 8

Additional material:

Time table

R Cheat sheet

Exercise sheet 1: data_Sha_64.txt

Exercise sheet 2: multivariate_statistics.RData

Exercise sheet 2: knn.Data.RData

Exercise sheet 4: Exercises-2019.mgf

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.