The cutting edge of Bioinformatics...
With the emergence of large-scale, high-throughput technologies in molecular biology, bioinformatics is at the core of where many scientific discoveries are made.
Scientists, data analysts, computational modelers and method developers require synergetic skills in computing, statistics, mathematics and bioscience to meet the cross-disciplinary demands in research institutes, pharmaceutical and biotech industries.
The course Advanced Bioinformatics covers and dissects computational methods and algorithms for uncovering patterns in biological data, and applies them to scientifically significant problems. Advanced Bioinformatics equips the student with the necessary interdisciplinary knowledge to meet the data-centered challenges of modern-day biology.
What do I do in this course?
Present-day bioinformaticians are typically either bio-scientists armed with the methods of computer science, statistics and mathematics, or data analysts acquainted with the nature and challenges of molecular biology. The course in Advanced Bioinformatics aims to cater for the background and needs of both these groups. Moreover, the course is designed to leverage and strengthen synergies between the two groups.
 
The course aims to instill:
  • an appreciation and understanding of a range of computational and statistical applications in biology involving the processing, analysis of and model-building from genomic data.
  • the knowledge and skills (both theoretical and practical) required to develop computational methods and tools, to make informed, data-driven discoveries in molecular biology.
In the context of the problems to which they are suited, the course presents key methodological concepts in bioinformatics. The course covers a set of problem themes, presented and supported by means of lectures, tutorials and practical work:
  • Biological sequence data and their analysis.
  • Biological structure and discovering functional features,
  • Systems biology, phylogeny and models of evolution.
Career relevance of this course:
Be part of the IT and BIO revolution.
 
Because this is a new and growing area, there is a world shortage of trained bioinformaticians. Combinations of this computational biology program with a program or courses in computing, mathematics or biology are particularly advantageous. Employment is with biotechnology companies, research organizations and government.
Program planning advice:
BIOL3014 is the compulsory capstone course in the Bioinformatics dual major. It is also recommended by the course coordinator for inclusion in the Biophysics and Computational Science dual majors, and Molecular Genetics stream of the Genetics major.

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.