BIOINFORMATICS

BIO5INF

2018

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 modeling software used to solve biological problems. This unit requires no prior experience in bioinformatics

SchoolSchool of Molecular Sciences/LIMS

Credit points15

Subject Co-ordinatorSuresh Mathivanan

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

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

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsUnderstanding BioinformaticsRecommendedZvelebil, M and Baum, J.O.GARLAND SCIENCE

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.

Activities:
Weekly workshop (2 hours) Weekly lecture Case studies Worksheets

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

Activities:
Weekly workshop (2 hours) Weekly lecture Case studies Worksheets

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

Activities:
Weekly workshop (2 hours) Weekly lecture Case studies Worksheets

04. Apply biostatistics to solve bioinformatic problems.

Activities:
2 (1 hour) lecture on biostatistics

Subject options

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Start date between: and    Key dates

Melbourne, 2018, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorSuresh Mathivanan

Class requirements

WorkShop Week: 32 - 42
One 2.0 hours workshop per week on weekdays during the day from week 32 to week 42 and delivered via online.

Lecture Week: 32 - 42
One 1.0 hours lecture per week on weekdays during the day from week 32 to week 42 and delivered via face-to-face.

Assessments

Assessment elementComments% 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.20 01, 02, 03, 04
One 2-hour examThe use of precise tools for solving the problem. The limitations of the approach will be discussed.30 01, 02, 03, 04
Biostatistics quiz (equivalent to 500 words)Use of Excel sheets to tackle problems pertaining to statistics.10 04
Practical reports equivalent to 1,500 wordsCase study of a gene/protein and the various characterization methods will be discussed.30 01, 02, 03, 04
One 500 word assignmentAdvanced OMICs technologies will be used to analyse complex datasets.10 01, 02, 03, 04