BIOINFORMATICS

BIO5INF

2021

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

SchoolMolecular Sciences

Credit points15

Subject Co-ordinatorSuresh Mathivanan

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

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-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Understanding Bioinformatics

Resource TypeRecommended

Resource RequirementN/A

AuthorZvelebil, M and Baum, J.O.

YearN/A

Edition/VolumeN/A

PublisherGARLAND SCIENCE

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/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.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorSuresh Mathivanan

Class requirements

LectureWeek: 32 - 42
One 1.00 h lecture per week on weekdays during the day from week 32 to week 42 and delivered via face-to-face.

WorkShopWeek: 32 - 42
One 2.00 h workshop per week on weekdays during the day from week 32 to week 42 and delivered via online.

Assessments

Assessment elementCommentsCategoryContributionHurdle% 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/AN/AN/ANo20 SILO1, SILO2, SILO3, SILO4
One 2-hour exam The use of precise tools for solving the problem. The limitations of the approach will be discussed.N/AN/AN/ANo30 SILO1, SILO2, SILO3, SILO4
Biostatistics quiz (equivalent to 500 words) Use of Excel sheets to tackle problems pertaining to statistics.N/AN/AN/ANo10 SILO4
Practical reports equivalent to 1,500 words Case study of a gene/protein and the various characterization methods will be discussed.N/AN/AN/ANo30 SILO1, SILO2, SILO3, SILO4
One 500 word assignment Advanced OMICs technologies will be used to analyse complex datasets.N/AN/AN/ANo10 SILO1, SILO2, SILO3, SILO4