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Unit of study_

Computational Analysis for omics Data - OLET5602

Year - 2020

Molecular and systems biology have become data-intensive sciences owing to the fast-growing omics technologies that enable the profiling of genome, epigenome, transcriptome, and proteome at full scale and, increasingly, at the single-cell level. Computational and statistical methodologies are now indispensable for analysing omics data generated from high-throughput technologies. This unit will introduce you to commonly used computational and statistical methods in omics data analysis. You are encouraged to use your own data to construct the models to visualise your research and interpret results. Learning the correct use of computational methods for various omics data analysis applications including your own data, you will develop an essential knowledge of methods and techniques in analysing omics data. This will provide a strong foundation for using computational approaches in omics-based molecular and systems biology research.

Classes
2 x 2-hr online computer labs

Assessment
2 x online quizzes (15% each, total of 30%), presentation (30%), report (40%)

Textbooks
A First Course in Systems Biology, Eberhard O. Voit, (Garland Science, 2017).

Assumed knowledge
Experience with at least one programming language. Basic computational and statistical concepts. Basic knowledge of molecular biology.

Details

Faculty: Science

Intensive August

20 Jul 2020

Department/School: Mathematics and Statistics Academic Operations
Study Mode: Block mode
Census Date: 07 Aug 2020
Unit of study level: Postgraduate
Credit points: 2.0
EFTSL: 0.042
Available for study abroad and exchange: Yes
Faculty/department permission required? No
Location
Camperdown
More details
Unit of Study coordinator: Pengyi Yang
HECS Band: 2
Courses that offer this unit

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