Courses using R

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Article #2409

#2409

From: Heather Vincent
Date: Thu, 18 Feb 2010 13:38

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At the University of Manchester, UK, we have over 10 years experience in
teaching a range of online Masters courses in computational biology. Two 
of the courses beginning in March are likely to be of particular 
interest to subscribers to this forum.  The courses are :

Mathematics for metabolic modelling
Introduction to microarray data analysis

'Mathematics for metabolic modelling' will provide an introduction to 
the mathematical skills and concepts needed for modelling biological 
systems.  Students will be using R, an increasingly important language 
for data analysis for the life sciences.

The key course themes are :

Descriptive Statistics and Graphics with R
Introduction to Probability
Kinetics and Ordinary Differential Equations
Statistical Inference
Markov Chain Monte Carlo (MCMC) Bayesian Inference
A Biochemical Network Model

'Introduction to microarray data analysis' is divided into five main 
sections:

Microarrays and experimental design
Data capture and preliminary checks
Data analysis
2-channel data
Gene Class Tests

Course participants will work through practical examples using maxdview, 
a visualisation environment for microarray data from The University of 
Manchester, and/or R/Bioconductor.

For details of 'Mathematics for metabolic modelling' see : 
http://octette.cs.man.ac.uk/bioinformatics/modules/maths.html

For details of 'Introduction to microarray data analysis' see : 
http://octette.cs.man.ac.uk/bioinformatics/modules/BIOL61010.html

For information on our distance Masters programmes in Computational 
Biology : http://octette.cs.man.ac.uk/bioinformatics/index.html

If have any questions about the options, please contact 
Heather.Vincent@manchester.ac.uk

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