BIN3890 · Research methods in bioinformatics and big data analysis

Overview

In Research methods in bioinformatics and big data you will apply the knowledge and analytical skills learnt in BIN3800 to carry out an in depth computational analyses of existing genomics, transcriptomics or proteomics datasets. This will be an entirely dry lab unit and computer resources at the Genomics facility and its associated bioinformatics and big data laboratory and the Monash Malaysia Advanced Computing Platform will be made available to you in your data analyses. This unit will provide you an opportunity to apply your bioinformatics knowledge to access and analyse large datasets and develop project management skills and confidence in analysis of big data and subsequently improve chances of your employability by academia, or industry.

Areas of study: Genomics and bioinformatics

Offerings

Assessment

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

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

Requisites

Learning outcomes

1. Plan and undertake bioinformatics data analyses;
2. Access and analyze large genomics, transcriptomics and proteomics datasets using command line queries;
3. Explain how to check quality and interpret results obtained from the analyses of large genomics datasets;
4. Demonstrate project management skills;
5. Prepare and present a poster presentations.

Workload

• 1-hour applied session and • 11-hours of analyses activity (self directed learning) per week.

Student experience, not official rules. Nothing here changes what the Handbook says.