Introduction to Microarray Data Analysis is one of a number of online
courses from The University of Manchester. It is suitable for anyone
beginning work with microarrays, or for those needing to extend their
skills in data analysis.
There are now many tools available for microarray data analysis. In
this course, instructions for the practical exercises are given for
maxdview or for Bioconductor, so participants can choose which tool to
use.
maxdview, from The University of Manchester, has a graphical user
interface, providing an excellent learning environment for those new to
work with microarrays.
Many new methods for the analysis of genomic data are now written in the
R programming language, and then contributed to the BioConductor
project. The packages are called from the command line, so the
Bioconductor exercises are more suitable for those with some experience
of programming.
Our distance courses are delivered in a Virtual Learning Environment,
which allows us to extend the classroom into the web. We use a range of
tools to support our online teaching activities.
Each course, which is paced to suit those in full-time employment, runs
over 16 teaching weeks.
Teaching and learning are focussed around tutor-supported exercises. In
this course, participants are encouraged to discuss their work, before
submitting exercises for feedback from the course tutor. Participants
who wish to be assessed for credits at Masters level should complete
additional independent research for assessment
Week 1 Introductions and software setup
Weeks 2 and 3 Microarrays and experimental design
Weeks 4 and 5 Data capture and preliminary checks
Weeks 6 and 7 Data analysis
Weeks 8 and 9 2-channel data
Weeks 10 and 11 Independent research and work on the first assessment
Weeks 12 and 13 Gene Class Tests
Weeks 14 to 16 Independent research and work on the second assessment
You will find information on all our courses, including fees and a link
to the online application form, here :
http://octette.cs.man.ac.uk/bioinformatics/index.html If you have any
questions, or need advice on the module options, please contact
Heather.Vincent from manchester.ac.uk
