QFAB BIOINFORMATICS | Bioinformatics - BioStatistics

Biostatistics
Integration of multiple omics and clinical datasets
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Data visualisation and management
Custom online tools for data management, sharing and visualisation
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NGS analyses
Understanding your NGS data, from assembly to differential-expression and pathway analyses
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Bioinformatics

We provide expertise in the use of computational techniques to increase the insights obtainable from high-throughput measurement platforms in biology that include microarrays, next generation sequencing and proteomics profiling

Biostatistics

We provide expert biostatistical support from design of experiments, to analysis and interprepration

Our clinics are well suited to help High Degree Research students and Early Career Researchers

Biodata

We enable the management, mining and visualisation of small and big data, leveraging the cloud and hpc research infrastructure powered by the Queensland Cyber Infrastructure Foundation

About Us

QFAB Bioinformatics is a core facility providing support in bioinformatics, biostatistics and biodata to life sciences and health researchers across Queensland and beyond. This diversity builds QFAB’s capacity to apply new skills and approaches to a project, to implement the most effective solutions and unlock the full value of data.

2018 Australasian Genomic Technologies Conference

AGTA18 will cover all aspects of genomic science, technologies and their applications.

Exploring and predicting using linear regression in R (14 November 2018)

Wed, 14/11/2018 - 09:00 to 17:00This one-day workshop aims to increase participants understanding of the principles, methods, and interpretation of regression models using the R software environment, a powerful, popular and free statistical and graphical programming language. The scope of the course runs from basic principles of regression methods to interpreting the output of statistical analyses, and also includes practical sessions getting hands-on experience with regression analysis in R.

Our next Workshop

Exploring and predicting using linear regression in R (14 November 2018)

Wednesday, 14 November, 2018 - 09:00 to 17:00

This one-day workshop aims to increase participants understanding of the principles, methods, and interpretation of regression models using the R software environment, a powerful, popular and free statistical and graphical programming language.

Biostatistics

Data visualisation and management

NGS analyses

Our next Workshop