BC5203 - Advanced Bioinformatics
|Student Contribution Band:
||College of Public Health, Medical & Vet Sciences
This subject provides an overview of widely used computational methods in molecular
biology. Lectures describe core concepts and techniques required to analyse, visualise
and interpret datasets involving many thousands of genes, genomic variants or microbial
taxa. Practicals work through concrete examples of methods covered in lectures, and
introduce general purpose tools such as the R language and the unix shell to efficiently
work with large biological datasets. Topics covered include an introduction to R and
the unix shell, differential gene expression, finding and interpreting genomic variants
and metagenomics. In this subject, students will critically evaluate and plan research
involving large sequencing data and bioinformatics. Students will independently prepare
a grant proposal and oral presentation, demonstrating their ability apply bioinformatics
tools to questions of disease or ecological processes.
- to critically evaluate results from widely used bioinformatic tools based on an understanding
of their core concepts and assumptions;
- to solve questions in molecular biology using appropriate statistical and bioinformatic
techniques to analyse genomic sequencing data;
- to apply the results from bioinformatics tools to make inferences on the evolutionary
and cellular processes involved in disease or ecological events;
- to write and debug short computer programs for the purposes of data reformatting,
analysis and visualisation;
- To critically analyse preliminary data forming the justification of an individually
prepared grant proposal and oral presentation.
|This subject assumes that students are familiar with basic probability and statistics
(equivalent to second year undergraduate level), as well as some familiarity with
the R programming language. Students who are unsure if they meet the assumed knowledge
requirements should contact the subject coordinator.
Study Period 2
|Census Date 29-Aug-2019
||Dr Ira Cooke
||Dr Roger Huerlimann, Dr Matt Field, Dr Ira Cooke.
- 24 hours lectures
- 12 hours tutorials
- 24 hours practicals
||end of semester exam (30%); assignments (60%); tutorial assignments (10%).
Minor variations might occur due to the continuous Subject quality improvement
process, and in case of
minor variation(s) in assessment details, the Subject Outline represents the latest