Medical Systems Biology

You are here:  Teaching > WS 2016/2017 > Bioinformatics and Systems Biology (MolMed)

Bioinformatics and Systems Biology (MolMed)

Coordinator: Prof. Dr. H. A. Kestler

Code: MOME.Ma1002

 


Announcement:

- Lectures will start on October 18th


Lectures:

Tuesday (14:00 - 16:00) Room 45.2.101 (Uni West)

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

 

Room changes:

  • Thursday, 20.10.2016 (16:00 - 18:00) Room N23, 2622
  • Thursday, 17.11.2016 (14:00 - 16:00) Room N23, 2622
  • Tuesday, 29.11.2016 (14:00 - 16:00) cancelled
  • Tuesday, 29.11.2016 (16:00 - 18:00) Room 029, 1001

 

Excercises:

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

 

Exam:

Friday, 10.02.2017 (11:00), Lecture Hall at the University and Rehabilitations Clinics Ulm (RKU) 

 

Slides:

  1. Overview
  2. Signaling
  3. Epigenetics
  4. Omics: High throughput technologies
  5. Introduction to R: Part I
  6. Introduction to R: Part II
  7. Multivariate statistics
  8. Classification
  9. Clustering
  10. Genomics
  11. NGS (supplement: table header for slide 24)
  12. Mass spectrometry and proteomics
  13. Bioinformatics in MS based qualitative and quantitative proteomics
  14. Sequence alignment and phylogenetic inference - Slides (use lectures 6,8 and 9)
  15. Sequence alignment and phylogenetic inference - Script
  16. Simulation and modeling
  17. Boolean networks
  18. Quantitative description of cellular processes

Exercise sheets:

  1. R basics
  2. Multivariate statistics
  3. Data mining
  4. NGS
  5. Proteomics
  6. Sequence alignment and phylogenetic inference
  7. Simulation and modeling
  8. Boolean networks
  9. Quantitative description of cellular processes


Additional material:

  • Exercise 01: Leaves dataset
  • Exercise 02: Dataset
  • Exercise 03: STC dataset
  • Exercise 03: Predicted labels classifier 1
  • Exercise 03: Predicted labels classifier 2
  • Exercise 03: Real labels
  • Exercise 03: Clustering sheet
  • Exercise 04: Genome data
  • Exercise 05: MS/MS-Peaklists
  • Exercise 07: Helping functions (additional information)
  • Exercise 09: Simulation


Latest News

Our paper "A model of the onset of the Senescence Associated Secretory Phenotype after DNA damage induced Senescence" has been accepted for publishing in PLOS Computational Biology.

Our paper "The influence of multi-class feature selection on the prediction of diagnostic phenotypeshas been accepted for publishing in Neural Processing Letters.