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BMS2062 · Introduction to bioinformatics

Official Handbook

2026 Handbook6 credit pointsLevel 2School of Biomedical Sciences

Last checked: 23 Aug 2026 UTC

Overview

Bioinformatics unites the major advances in biology, biochemistry and the biomedical sciences with those in computing, bioinformatics and networking. The unit covers the application of the internet to biomedical sciences; organisation and uses of scientific databases; use of computational methods in genomics and proteomics; fundamentals of molecular modelling; analysis and presentation of biomedical data; and communication of biomedical data using information technology.

Offerings

CampusTeaching periodMode
ClaytonSecond semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Theme tests (2 x 20 mins) & team-based testsQuiz / Test15%
2Case study analysis tasks (×2) - (1.5 hours to complete each case study analysis + 10 mins reading)Written60%
3In semester assessments – Bioinformatics team project & professional development moduleProject25%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prerequisite

Learning outcomes

  1. Predict the consequences of DNA variation within different regions of the genome.
  2. Identify the key structural features of genes and mRNA sequences, which allow them to be transcribed & translated into proteins.
  3. Evaluate what transcriptomics experiments reveal about the RNAs present within a cell or a collection of cells.
  4. Evaluate what proteomics experiments reveal about the proteins present within a cell or a collection of cells.
  5. Determine how protein sequence and structure analysis provides insights into the function of a protein and its possible role in a disease state.
  6. Investigate the role of bioinformatics and molecular biology in advancing our understanding, detection & treatment of disease.

Workload

A total of 12 hours per week including 6 hrs of teacher-directed learning (such as lectures and applied sessions) and 6 hours of student-directed study.

ActivityDuration
Lectures24 hours
Applied sessions24 hours
Assessments

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