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Special-topic Lecture: Modeling Cell Fate

General Information

Lecturer: Prof. Dr. Volkhard Helms

Tutor: Mohamed Hamed, Ruslan Akulenko, Christian Spaniol

Lecture: Tuesday, 10:15 am - 11:45 am, building E2 1, room 007
Tutorial: Tuesday, 12:45 am - 02:00 pm, building E2 1, room 007, starting on April 30

Information: This course can be used as a "Spezialvorlesung der Bioinformatik/Special-topic Lecture Bioinformatics"

Leistungspunkte/Credits:

  5 (2 V + 1 Ü)

This course is taught in English language.

 

Conditions for certification: There will be three 45-minutes tests on different parts of the lecture. (a) Students need to pass at least two out of the three tests. (b) Students need to get at least 50% of the points from the assignments. 

Schein/Certification: An averaged score will be computed from the best two results of the three tests and this yields the grade of certification ("Schein"). There will be no final exam

There will be about six bi-weekly assignments and tutorial sessions.

 

Content:

(a) biological content

  • cell cycle
  • cell differentiation/cell reprogramming
  • development of cancer
(b) bioinformatics content
  • microarray expression analysis
  • DNA methylation analysis
  • GO and pathway annotation
  • interaction networks
  • application of clustering techniques
  • construction of gene-regulatory networks
  • stochastic simulations
(c) mathematics content
  • stochastic processes + noise
  • differential equations
  • non-linear systems, bifurcations


Requirements:

no formal requirements, but solid prior knowledge about

  • cellular networks
  • genetics
  • omics technologies
  • programming experience

Lectures:

Lecture 1, April 16
ppt
pdf

Lecture 2, April 23
ppt
pdf

Lecture 3, April 30 ppt
pdf
Assignment 1
Lecture 4, May 7
ppt
pdf

Lecture 5, May 14
Test 1 ppt
pdf
Assignment 2
Lecture 6, May 21
ppt
pdf

Lecture 7, May 28
ppt
pdf
Assignment 3
data
June 4
no lecture


Lecture 8, June 11
ppt
pdf

Lecture 9, June 18
Test 2 ppt
pdf
Assignment 4
data
Lecture 10, June 25
ppt
pdf

Lecture 11, July 2

pdf
Assignment 5
data1
data2
July 9
no lecture


Lecture 12, July 16
ppt
pdf

July 23
Test 3

Assignment 6
data

 

 

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