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Overview

Bioinformatics methods and data generated or analysed by these methods are of increasing importance in the biological sciences. This course explores the algorithms, assumptions, applications and limitations of a number of bioinformatics methods used for DNA and protein sequence analysis, biomolecular structure prediction and analysis, and functional genomics including microarray data analysis. Practical work emphasises the use and applications of standard bioinformatics tools and databases.  Assumed knowledge: Fundamentals of molecular biology, Introductory statistics and probability. Computer programming skills not necessary. 

The course is targeted at students with a biology background. Students without knowledge of molecular biology foundations may find the course difficult. Some readings will be provided at the start of the course for these students.

This course does not require programming, however it does involve the use of Linux.

Study Level

Postgraduate

Offering Terms

Term 2

Campus

Kensington

Indicative contact hours

6

Conditions for Enrolment

Enrolled in a COMPBS (MIT) or COMPFR (2645) or COMPER (1650) plan

Course Outline

To access course outline, please visit:

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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