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27612 DNA Microarray Analysis
To register for internet-transmission please see remarks
|Taught under open university|
Scope and form:
Lectures, computer exercises and project work
Duration of Course:
Date of examination:
the final day of the course|
Type of assessment:
Not applicable together with:
|Minimum 10, Maximum: 40|
General course objectives:
The aim of this course is to give the students a profound knowledge of methods for microarray analysis as well as the ability to apply computerized analyses on gene expression data. Furthermore, it is a goal that the students learn to formulate interesting problems/questions that can be addressed by gene expressions analysis.
|A student who has met the objectives of the course will be able to:|
- Account for the individual steps in a general microarray analysis.
- Explain the overall theoretical principles behind the individual steps in the analysis.
- Account for the preconditions and assumptions in the individual steps of the analysis.
- Independently apply a basal microarray analysis.
- Formulate problem formulations that may be answered by microarray analysis.
- Answer the problem formulated by the students.
- Collaborate in a group about the project work.
- Read into and manipulate simple data structures in the statistical programming environment R.
The technology behind GeneChips and cDNA arrays; normalization of data; statistical significance of changes in gene expression; reduction and visualization of large data matrices: PCA and clustering; promoter analysis and functional analysis; integration of data; case stories and problem formulation. Finally a poster presentation based on a problem, formulated in cooperation with a group of students and the teachers.
REMARKS TO REGISTER FOR INTERNET-TRANSMISSION
To register for internet-transmission please send an e-mail to coordinator Dorthe Kjærsgaard firstname.lastname@example.org with your full name and study no. no later than 2 weeks before the ordinary application period starts (i.e. no later than November 1). After received confirmation please perform a standard application. Max 15 students on the web transmitted version.
The evaluated exercises/projects will be done in groups and the work done by each student must be identified, so that each student can receive and individual grade.
Exercises and the project part entail work in the statistical environment R (preknowledge is not required for onsite students. Offsite (i.e. online) students, however, are expected to be trained R users).
Green challenge participation:
Please contact the teacher for information on whether this course gives the student the opportunity to prepare a project that may participate in DTU´s Study Conference on sustainability, climate technology, and the environment (GRØN DYST). More information
|, 208, 018, (+45) 4525 2489,
, 208, 017, (+45) 4525 2489,
|27 Department of Systems Biology|
Registration Sign up:
|DNA Microarrays, Expression Analysis, GeneChip, problem formulation, classification, systems biology, statistical programming language R|
April 19, 2012||