Course level

Postgraduate Coursework

Faculty

Science

School

Chemistry & Molec Biosciences

Units

2

Duration

One Semester

Class hours

2 Lecture hours
2 Practical or Laboratory hours

Prerequisite

BINF6000

Companion

BINF7000

Recommended prerequisite

Recommended companion

Assessment methods

Literature review, project reports and oral presentation based on computer practicals

Course enquiries

Scott Beatson (s.beatson@uq.edu.au)

Current course offerings

Course offerings Location Mode Course Profile
Semester 2, 2024 (22/07/2024 - 18/11/2024) St Lucia In Person Profile unavailable

Please Note: Course profiles marked as not available may still be in development.

Course description

Advanced Genome Informatics introduces current approaches for analysing genome and transcriptome data including read mapping, de novo assembly, visualization, and biostatistics. The course consists of three parts: i) introduction to unix command-line tools and their application to bioinformatics analysis, ii) biostatistics and its application to transcriptome analysis using R; and iii) genome and metagenome assembly, annotation and comparative analysis.

Archived offerings

Course offerings Location Mode Course Profile
Semester 2, 2023 (24/07/2023 - 18/11/2023) St Lucia In Person Course Profile
Semester 2, 2022 (25/07/2022 - 19/11/2022) External External Course Profile
Semester 2, 2022 (25/07/2022 - 19/11/2022) St Lucia Internal Course Profile
Semester 2, 2021 (26/07/2021 - 20/11/2021) St Lucia Internal Course Profile
Semester 2, 2021 (26/07/2021 - 20/11/2021) External External Course Profile
Semester 2, 2020 (03/08/2020 - 21/11/2020) External External Course Profile
Semester 2, 2019 (22/07/2019 - 16/11/2019) St Lucia Internal Course Profile
Semester 2, 2018 (23/07/2018 - 17/11/2018) St Lucia Internal Course Profile
Semester 2, 2017 (24/07/2017 - 18/11/2017) St Lucia Internal Course Profile
Semester 2, 2016 (25/07/2016 - 19/11/2016) St Lucia Internal Course Profile
Semester 2, 2015 (27/07/2015 - 21/11/2015) St Lucia Internal Course Profile