BIOINFORMATICS
BIO5INF
2017
Credit points: 15
Subject outline
In this unit students will be introduced to the ever expanding field of bioinformatics. Students will learn how to locate, use and apply commonly available bioinformatic 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
School: School of Molecular Sciences/LIMS
Credit points: 15
Subject Co-ordinator: Suresh Mathivanan
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
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
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Understanding Bioinformatics | Recommended | Zvelebil, 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. Understand 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
Melbourne, 2017, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Suresh Mathivanan
Class requirements
LectureWeek: 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.
WorkShopWeek: 32 - 42
One 2.0 hours workshop per week on weekdays during the day from week 32 to week 42 and delivered via online.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| In class worksheets/ online quizzes | 20 | 01, 02, 03, 04 | |
| One 2-hour exam | 30 | 01, 02, 03, 04 | |
| Biostatistics quiz | 10 | 04 | |
| Practical reports equivalent to 1,500 words | 30 | 01, 02, 03, 04 | |
| One 500 word assignment | 10 | 01, 02, 03, 04 |