Enviromics and Biostatistics

10 Units

This course demonstrates how omics techniques and biostatistics can be applied in the field of environmental research and to find solution and management strategies for environmental contamination problems in water, sediment, soil and air.
The advent of whole-genome sequencing, mRNA sequencing, targeted gene sequencing and peptide sequencing has revolutionised the environmental studies. Hence, the course will focus on studies involving biological sequence data (sequence bioinformatics) and macromolecular structures (structural bioinformatics) from environmental samples such as cells, DNA, mRNA and protein to develop models for various environmental remediation strategies.
This course also introduces students to biostatistical principles and methods and their application for environmental research.
The course is divided into lectures, computer laboratory experiments and assignments. The course will facilitate understanding of the environmental related omics methods and statistical tools.

Faculty Faculty of Science
School Global Centre for Environmental Remediation
Availability Semester 2 - 2018 (Callaghan)
Learning Outcomes

On successful completion of this course, students will be able to:

  1. Understand the developments in enviromics technologies including genomics, transcriptomics, metabolomics and proteomics.
  2. Demonstrate computing skills in enviromics techniques.
  3. Demonstrate skills in data analysis and visualisation.
  4. Demonstrate knowledge of the application of enviromics in the field of environmental risk assessment and remediation.
  5. Demonstrate skills in using various software used in the enviromics.
  1. Environmental Genomics for toxicology and remediation
  2. Environmental transcriptomics for toxicology
  3. Environmental metabolomics for risk assessment
  4. Environmental proteomics for biomarkers
  5. Biostatistical analysis
Assumed Knowledge Students should have bachelor level science, mathematics and engineering or equivalent knowledge.
Assessment Items
  • Case Study / Problem Based Learning: Case studies
  • Formal Examination: Examination
  • Project: Project thoughts/plans
  • Online Learning Activity: Blackboard Discussion

Contact Hours


Computer Lab

Face to Face On Campus 3 hour(s) per Week for 6 Weeks


Face to Face On Campus 2 hour(s) per Week for 10 Weeks

Timetable 2018 Course Timetables for ERAR6008
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