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Unit of study_

Molecular Systems Biology - QBIO2001

Experimental approaches to the study of biological systems are shifting from hypothesis driven to hypothesis generating research. Large scale experiments at the molecular scale are producing enormous quantities of data ("Big Data") that need to be analysed to derive significant biological meaning. For example, monitoring the abundance of tens of thousands of proteins simultaneously promises ground-breaking discoveries. In this unit, you will develop specific analytical skills required to work with data obtained in the biological and medical sciences. The unit covers quantitative analysis of biological systems at the molecular scale including modelling and visualizing patterns using differential equations, experimental design and data types to understand disease aetiology. You will also use methods to model cellular systems including metabolism, gene regulation and signalling. The practical program will enable you to generate data analysis workflows, and gain a deep understanding of the statistical, informatics and modelling tools currently being used in the field. To leverage multiple types of expertise, the computer lab-based practical component of this unit will be predominantly a team-based collaborative learning environment. Upon completion of this unit, you will have gained skills to find meaningful solutions to difficult biological and disease-related problems with the potential to change our lives.

Classes
Two 1-hour lectures; one 3-hour practical session on a weekly basis

Assessment
One 3-hour final exam (50%), three 45-minute quizzes (20%), one 5-minute presentation (10%), laboratory assessment and practical book (20%)

Textbooks
An Introduction to Systems Biology: Design Principles of Biological Circuits, Uri Alon, (Chapman and Hall/CRC, 2007). Systems Biology, Edda Klipp, Wolfram Liebermeister, Christoph Wierling, Axel Kowald, Hans Lehrach, and Ralf Herwig, (Wiley-Blackhall, 2009). Molecular biology of the cell, Alberts B et al (6th edition, Garland Science, 2015) Discovering Statistics Using R, Andy Field (2012, SAGE Publications Ltd). Computational and Statistical Methods for Protein Quantitation by Mass Spectrometry, Martens L et al (Wiley, 2013)

Assumed knowledge
Basic concepts in metabolism; protein synthesis; gene regulation; quantitative and statistical skills

Details

Faculty: Science

Semester 1

25 Feb 2019

Department/School: Life and Environmental Sciences Academic Operations
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Mar 2019
Unit of study level: Intermediate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? No
Location
Camperdown
More details
Unit of Study coordinator: Dr Edward Hancock
HECS Band: 2
Courses that offer this unit

Non-award/non-degree study If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student. Cross-institutional study If you are from another Australian tertiary institution you may be permitted to undertake cross-institutional study in one or more units of study at the University of Sydney.

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