Bioinformatics: Overview

Undergraduate | 2027

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
BIOL X402
Course ID icon
Course ID
209553
Campus icon
Campus
Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Biological Sciences
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Course level
4
Work Integrated Learning course
Work Integrated Learning course
No
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

This course will equip learners with the knowledge and skills to analyse DNA sequences and interpret the significant patterns discovered. The course provides an understanding of the specific considerations of different sequencing technologies and data analysis algorithms, such as those used to align, assemble, and annotate sequence data. In addition, the course will cover key data management skills and reproducibility principles. This course provides modern computational biology techniques that are essential to modern biotechnology.

  • Fundamentals of Bioinformatics
  • Public Health Microbial Genomics
  • Pathogens and Metagenomics
  • Reproducible Bioinformatics

Course learning outcomes

  • Choose and justify the appropriate technology, strategy, and analysis for various bioinformatics projects
  • Employ command-line tools to analyse small, real-world biological sequence data sets
  • Interpret the results of bioinformatic analyses in a biological context
  • Implement approaches to ensure the reproducibility of a research analysis using modern programming tools
  • Employ effective techniques to communicate results of bioinformatic analyses

Prerequisite(s)

  • Must have completed For undergraduate students, BIOL 1003 Biology1A Molecules, Genes and Cells

Corequisite(s)

N/A

Antirequisite(s)

  • Must not have completed PHAR5002 Bioinformatics: Overview