BIOINFORMATICS

BIO5INF

2020

Credit points: 15

Subject outline

In this subject students will be introduced to the ever expanding field of bioinformatics. Students will learn how to locate, use and apply commonly available bioinformatics software programs to address biological problems. Students will also be introduced to molecular modelling software used to solve biological problems. This unit requires no prior experience in bioinformatics

School: Molecular Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Suresh Mathivanan

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 5 - Masters

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: Must be enrolled in one of the following courses: SMBB, SMBT, SMBM, SGBB, SMNT, SZHSN, SZHSMN, SZHSNT or SMDS All other students require coordinator approval

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Understanding Bioinformatics

Resource Type: Book

Resource Requirement: Recommended

Author: Zvelebil, M and Baum, J.O.

Year: N/A

Edition/Volume: N/A

Publisher: GARLAND SCIENCE

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Use advanced bioinformatics techniques, including database searching, alignments, pattern analysis and predictive study to solve scientific problems. Acquire the ability to assess whether the application of advanced tools and scientific approaches are appropriate for a particular scientific problem in the field of Bioinformatics.

02. Navigate and be familiar with various free web-based bioinformatics programs. Critically analyse and solve scientific problems in the field of Bioinformatics.

03. Recognise critical issues and limitations in the current bioinformatics field and tools. Apply precise terminology and concepts to describe bioinformatics.

04. Apply biostatistics to solve bioinformatic problems.

Melbourne (Bundoora), 2020, LTU Term 4, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Suresh Mathivanan

Class requirements

LectureWeek: 30 - 35
Two 1.00 hour lecture per week on any day including weekend during the day from week 30 to week 35 and delivered via online.
Pre-recorded

WorkShopWeek: 30 - 35
Two 2.00 hours workshop per week on weekdays during the day from week 30 to week 35 and delivered via video conference.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
In class worksheets/online quizzes (equivalent to 1000 words)Navigate and be familiar with various free web-based bioinformatics programs. Critically analyse and solve scientific problems in the field of Bioinformatics.	N/A	N/A	N/A	No	20	SILO1, SILO2, SILO3, SILO4
One 2-hour examThe use of precise tools for solving the problem. The limitations of the approach will be discussed.	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4
Biostatistics quiz (equivalent to 500 words)Use of Excel sheets to tackle problems pertaining to statistics.	N/A	N/A	N/A	No	10	SILO4
Practical reports equivalent to 1,500 wordsCase study of a gene/protein and the various characterization methods will be discussed.	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4
One 500 word assignmentAdvanced OMICs technologies will be used to analyse complex datasets.	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4

Melbourne (Bundoora), 2020, LTU Term 6, Blended