156,250,000: the number of bases of DNA one next-gen sequencing machine produced in the time it took you to watch that new episode of House...
Bioinformatics is about applying computational and mathematical thinking to the biological sciences, changing how we approach scientific problems, and increasing the scale and complexity of the problems we are able to solve.
This course introduces you to the study of bioinformatics.
Genome sequencing projects, complementary high-throughput and combinatorial biotechnologies generate data faster than we can understand it. Interpreting this avalanche of data requires scientists who work at the intersection of computer science, maths and biological science.
What do I do in this course?
 DNA, RNA and protein—the molecules responsible for the function and evolution of organisms—can be dealt with as sequences of symbols. The full diversity of life is captured by this simple code. This course covers the principles and methods that let us search and compare these sequences, and explains how they can give us answers to fundamental biological questions from fields such as cell biology, biochemistry and medical science.
This course covers technologies and methods for analysing the expression, structure and function of DNA, RNA and proteins, and for understanding the relationships between species. You’ll be introduced to public data banks providing access to the intricacies of biological systems. In the process, you’ll develop the skills required to deal with the huge data sets of the future.
Career relevance of this course:
Bioinformatics is where science meets computing.
The revolution of the life sciences is driven by the acquisition, dissemination and analysis of data of unprecedented scale and complexity. Personnel with appropriate training and mindset are required to integrate and extract knowledge from these data. Bioinformatics skills are in great demand in research institutes, research organisations and science industries, or any organisation that requires people with an analytical mindset and excellent problem-solving ability.
Program planning advice:
SCIE2100 (previously COSC2000) is compulsory in the Bioinformatics major.  It leads to:
  • BIOL3014 - Advanced Bioinformatics
  • BIOL3004 - Genomics & Bioinformatics
  • COSC2500 - Numerical Methods in Computational Science
  • COSC3000 - Visualisation, Computer Graphics & Data Analysis
  • COSC3500 - High-performance Computing

For an official description of this course, including prerequisites and contact hours, and for the official rules of programs, including majors requirements, see the UQ Programs & Courses website.