Looking to equip yourself or brush up on biostatistics and bioinformatics knowledge? QCIF is a collaboration of different universities, of which, UQ is a proud member. The Graduate School has subscribed to selected QCIF courses that are open to UQ HDR candidates only, because these spaces are funded by the Student Services and Amenities Fees paid by UQ HDR candidates. Spaces are highly limited and registration through Student Hub is compulsory; walk-ins will be turned away at the door. Registration opening dates are indicated in the Session information.

Statistical comparisons using R (QCIF) [webinar]

20 September 2024 9:00am5:00pm
This practical hands-on workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Prior knowledge of R is required.

Plotting and programming with Python (QCIF) [webinar]

23 September 2024 9:00am26 September 2024 12:30pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

Predicting Binary Outcomes using Logistic Regression (QCIF) [webinar]

3 October 2024 9:00am12:30pm
The course will cover the principles of logistic regression and includes practical sessions getting hands-on experience of logistic regression in R. You will require prior expertise in R and a basic familiarity with statistical hypothesis testing and regression analysis to attend.

Statistical comparisons using SPSS (QCIF) [webinar]

11 October 2024 9:00am5:00pm
This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. Prior knowledge of SPSS is required.

R for reproducible scientific analysis (QCIF) [webinar]

14 October 2024 9:00am17 October 2024 12:30pm
An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

Exploring and predicting using linear regression in R (QCIF) [webinar]

22 October 2024 9:00am5:00pm
This highly interactive online workshop will provide attendees with a friendly, gentle introduction to the theory behind linear regressions in R. Prior experience with R and the RStudio interface is required, as well as familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing.

RNA Seq analysis using Galaxy (QCIF) [webinar]

24 October 2024 9:00am5:00pm
This practical workshop will introduce the specific skills and applications used in the analysis of RNA-Seq gene expression data.

Containers for Reproducible Computational Environments (QCIF) [webinar]

29 October 2024 9:00am12:30pm
Anyone interested in finding out more about containers and learning how to run research software from containers. Basic experience with Unix or Linux is required.

Exploring and predicting using linear regression in SPSS (QCIF) [webinar]

30 October 2024 9:00am5:00pm
This hands-on SPSS workshop introduces principles and methods of regression models using SPSS, and how to interpret relationships between data. It covers basic principles of regression methods through to interpreting the output of statistical analyses. Prior expertise with SPSS is required. Participants are also expected to have a basic familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing.

Statistical comparisons using R (CDF) [webinar]

11 November 2024 9:00am12 November 2024 12:30pm
This practical hands-on workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Prior knowledge of R is required. Please do not sign up unless you are able to fully attend both mornings.

Pages

Longitudinal and mixed model analysis using R (QCIF) [webinar]

17 September 2024 9:00am5:00pm
This practical workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data. Participants must know R and be familiar with the concepts of statistical hypothesis testing and regression analysis.

R for reproducible scientific analysis (QCIF) [webinar]

9 September 2024 9:00am12 September 2024 12:30pm
An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

Introduction to NGS platforms and bioinformatics analysis (QCIF) [webinar]

3 September 2024 9:00am5:00pm
This hands-on practical workshop is an introduction to next generation sequencing technologies and how they work, providers, common bioinformatics workflows, standardised file types, quality control and an introduction to Galaxy Australia.

Plotting and programming with Python (QCIF) [webinar]

19 August 2024 9:00am22 August 2024 12:30pm
This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

Long-read assembly using Galaxy (QCIF) [webinar]

16 August 2024 9:00am12:30pm
Explore how long and short read data can be combined to produce a high-quality ‘finished’ bacterial genome sequence. Termed ‘hybrid assembly’, we will use read data produced from two different sequencing platforms, Illumina (short read) and Oxford Nanopore Technologies (long read), to carry out de novo genome assembly.

Statistical comparisons using R (QCIF) [webinar]

12 August 2024 9:00am13 August 2024 12:30pm
This practical hands-on workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Prior knowledge of R is required. Please do not sign up unless you are able to fully attend both mornings.

Introduction to SPSS (QCIF) [webinar]

2 August 2024 9:00am5:00pm
This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS.

Longitudinal and mixed model analysis using R (QCIF) [webinar]

23 July 2024 9:00am5:00pm
This practical workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data. Participants must know R and be familiar with the concepts of statistical hypothesis testing and regression analysis.

R for reproducible scientific analysis (QCIF) [Webinar]

9 July 2024 9:00am12 July 2024 12:30pm
This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. This event is split up over four mornings. Please do not sign up unless you are able to attend all four sessions.

Introduction to HPC (QCIF) [webinar]

13 November 2023 9:00am1:00pm
This interactive workshop will introduce you to HPC. You *must* have access to an HPC cluster to attend the course; basic experience with Unix or Linux is highly recommended. REGISTATION IS REQUIRED AND WILL OPEN 13 SEPTEMBER AT 12 PM.