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27634 Bioinformatics 2 for It and Health

Primary for students at the study line "It and Health" at Copenhagen University

Danish title:

Bioinformatik 2 for It og Sundhed


Point( ECTS )


Course type:



E1A (mon 8-12) and E2A (mon 13-17)
Teaching period Mondays November to December and first 3 weeks of January


Campus Lyngby

Scope and form:

Lectures and exercises

Duration of Course:

13 weeks + 3 weeks

Date of examination:

Special day, January 20, 2014

Type of assessment:

Exam duration:



Qualified Prerequisites:

General course objectives:

To provide insights into the principles and pros and cons of relevant classification, prediction and modeling methods so that students can critically evaluate them. Importantly, to make the student capable of effectively using bioinformatics tools from the Unix command line tools and scripting so that to access, collect and analyze large amounts of data from files and databases. Finally, to give the student an overview to combine common bioinformatics tools via programming to provide a coherent approach.

Learning objectives:

A student who has met the objectives of the course will be able to:
  • Put together bioinformatics tools in a pipeline using Unix shell scripts and small programs (scripts).
  • Writing scripts to collect and filter datasets in R and visualise the data graphically.
  • Python for Bioinformatics. Implement programmatic data retrieval.
  • Writing webservices to collect data from remove bioinformatic databases.
  • Understand the principles behind the commonly used classification, modeling and prediction methods.
  • Evaluate the quality and usability of bioinformatics tools using common performance measures such as sensitivity, specificity, correlation coefficients and ROC curves.
  • xx
  • xx


Please see the Danish text

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 infor http://www.groendyst.dtu.dk/english


Ole Lund , Building 208, Ph. (+45) 4525 2425 , lund@cbs.dtu.dk
Morten Nielsen , mniel@cbs.dtu.dk


27 Department of Systems Biology

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Last updated: 05. maj, 2014