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BINF701 Introduction to Clinical Bioinformatics

An introduction to practical hands-on learning of computer literacy and programing skills need in the clinical environment together with the theoretical background

This paper builds on topics covered in GEHM 702 and is designed to meet the needs of clinical professionals, health scientists and researchers who want to develop knowledge and skills in the analysis and interpretation of Clinical Genomic and Epigenomic datasets.

Paper title Introduction to Clinical Bioinformatics
Paper code BINF701
Subject Bioinformatics
EFTS 0.1250
Points 15 points
Teaching period Not offered in 2023 (Distance learning)
Domestic Tuition Fees (NZD) $1,509.38
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Eligibility

This is a postgraduate (level 8) paper. Clinical experience/prior bioinformatics experience is not required.

Contact

aniruddha.chatterjee@otago.ac.nz

Teaching staff

Associate Professor Aniruddha Chatterjee

Teaching Arrangements

This Distance Learning paper is taught remotely.

Textbooks

No compulsory text books.

Graduate Attributes Emphasised
Global perspective, Lifelong learning, Communication, Critical thinking, Cultural understanding, Ethics, Environmental literacy, Information literacy, Research, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete this paper will

  • Acquire new skills to perform basic genomic and epigenomic data analyses that focus on health and clinical environment
  • Demonstrate a critical sense relating to analytical tools used and an awareness of their advantages and limitations
  • Gain critical sense on experimental design and power analysis to conduct robust and reproducible analyses
  • Apply critical reflection to understanding and addressing emerging ethical, legal, social and cultural considerations as they relate to Big Data, in particular for Māori as tangata whenua

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Timetable

Not offered in 2023

Location
Dunedin
Teaching method
This paper is taught through Distance Learning
Learning management system
Moodle