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Syllabus for

Academic year
KMB026 - Gene expression and cell models
 
Owner: BIMAS
5,0 Credits (ECTS 7,5)
Grading: TH - Five, Four, Three, Not passed
Level: C
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0105 Examination 5,0 c Grading: TH   5,0 c   Contact examiner,  Contact examiner

In programs

BIMAS MSc PROGRAMME IN BIOINFORMATICS, Year 1 (compulsory)
TITEA SOFTWARE ENGINEERING - Software development and management, Year 4 (elective)
TITEA SOFTWARE ENGINEERING - Data communication, Year 4 (elective)
TITEA SOFTWARE ENGINEERING - Embedded systems, Year 4 (elective)
TITEA SOFTWARE ENGINEERING - Interactive simulations, Year 4 (elective)
TITEA SOFTWARE ENGINEERING - Interaction design, Year 4 (elective)
TITEA SOFTWARE ENGINEERING - Bioinformatics, Year 4 (compulsory)
TKBIA BIOENGINEERING, Year 4 (elective)

Examiner:

Professor  Olle Nerman
Docent  Petter Mostad


Replaces

KMB025   Gene expression and cell models


Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

The course Sequence information, or similar.
Basics in Biology, or similar.
Basic course in statistics.

Aim

An important field in bioinformatics is the interpretation of
experimental information and how such information is used in relation
to models of biological processes. For instance, in recent years the
microchip array technology has made possible the generation of gene
expression data at a large scale. The interpretation of such data is a
significant and non-trivial problem in bioinformatics. The course
gives an introduction to the underlying biological problems and to the
mathematical and computer tools available. The course also presents
mathematical models of biological processes, from simple systems with
few macromolecular components to more complex systems at the cellular
level.

Content

Analysis and technical aspects of gene expression data:


  • Transcriptomics and DNA microarrays
  • Proteomics - expression, modification, localisation and interactions
  • The interpretion of large scale data
  • Clustering algorithms

Modeling of cellular processes:


  • Protein complex formation.
  • Models of intermediary metabolism and metabolic control
  • Genetic networks and regulatory circuits
  • Stochastic mechanisms in gene expression.
  • Mathematical models of the cell cycle
  • Biochemical oscillations and cellular rhythms.
  • Models of evolution.

Organisation

Lectures, seminars and some practicals.

Literature

Various articles and other printed material will be handed out.

Examination

Exercises and written exam.


Page manager Published: Thu 03 Nov 2022.