Introduction to microarray data analysis

Course provider:
The University of Manchester

Course contact:
Heather Vincent (heather.vincent@manchester.ac.uk)

Summary:
This course focuses on microarray analysis in the context of modelling for a systems approach to biology. Course participants will work through practical examples using maxdview, a visualisation environment for microarray data from The University of Manchester, and/or Bioconductor.
The course is designed to be taken either as a stand-alone course for those already working with microarrays, or as a final module for those working towards a formal qualification in bioinformatics. In the context of the full programme in bioinformatics, the module builds on the methods covered in the earlier module Introduction to Bioinformatics.

Syllabus:
The course is divided into five main sections:

Microarrays and experimental design

Data capture and preliminary checks

Data analysis

2-channel data

Gene Class Tests

Further details:
The assessment methods are shown below.

There will be an assessed tutorial exercise for each section of the course. These exercises will be brief: they are included as one means of maintaining a dialogue between all those participating in the course.

There will be two further written assessments. At the discretion of the examiners, you may also be required to attend a viva voce examination.

Technical requirements:
This module is delivered entirely via the internet, so a reliable internet commection is essential.
You will need access to a PC running a recent version of Microsoft Windows, preferably Windows XP or Windows 2000. You will also need Java version 1.2.2 or higher.

References:
Statistical and Data Handling Skills in Biology, Roland Ennos (Pearson)
Recomended for those who need revision in statistics
Microarray Bioinformatics, Dov Stekel (Cambridge University Press)
Statistics for Microarrays, Ernst Witt and John McClure (Wiley)
An online textbook, and recommendations for additional reading, are provided within the course.

Course provider:	The University of Manchester
Course contact:	Heather Vincent (heather.vincent@manchester.ac.uk)
Summary:	This course focuses on microarray analysis in the context of modelling for a systems approach to biology. Course participants will work through practical examples using maxdview, a visualisation environment for microarray data from The University of Manchester, and/or Bioconductor. The course is designed to be taken either as a stand-alone course for those already working with microarrays, or as a final module for those working towards a formal qualification in bioinformatics. In the context of the full programme in bioinformatics, the module builds on the methods covered in the earlier module Introduction to Bioinformatics.
Syllabus:	The course is divided into five main sections: Microarrays and experimental design Data capture and preliminary checks Data analysis 2-channel data Gene Class Tests
Further details:	The assessment methods are shown below. There will be an assessed tutorial exercise for each section of the course. These exercises will be brief: they are included as one means of maintaining a dialogue between all those participating in the course. There will be two further written assessments. At the discretion of the examiners, you may also be required to attend a viva voce examination.
Technical requirements:	This module is delivered entirely via the internet, so a reliable internet commection is essential. You will need access to a PC running a recent version of Microsoft Windows, preferably Windows XP or Windows 2000. You will also need Java version 1.2.2 or higher.
References:	Statistical and Data Handling Skills in Biology, Roland Ennos (Pearson) Recomended for those who need revision in statistics Microarray Bioinformatics, Dov Stekel (Cambridge University Press) Statistics for Microarrays, Ernst Witt and John McClure (Wiley) An online textbook, and recommendations for additional reading, are provided within the course.

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Updated 2 July 2009 by Heather Vincent