News, events and workshops

2018 Australasian Genomic Technologies Conference

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

Introduction to R (27 April 2018) FULLY BOOKED

Fri, 27/04/2018 - 09:00 to 17:00

This hands-on workshop will introduce the fundamentals of the R software environment, a powerful, popular and free statistical and graphical programming language. Participants will learn about the structure of the R language, how to add functionality through packages, and how to process data and generate tables, figures and reports using R. Recommended to anyone wanting to learn the basics of the R environment. 

Register before the 15th April 2018 and get 50% discount with the code MemberEarlyBird  (for QFAB members only).

 

RNA-Seq analysis using Galaxy (1-2 May 2018) FULLY BOOKED

Tue, 01/05/2018 - 09:00 to Wed, 02/05/2018 - 12:30

This 1.5 day workshop will include a short introduction to next-generation sequencing theory and an introduction to Galaxy. The hands-on component of the workshop introduces the concepts of RNA-Seq analysis, from data preparation through to statistical testing for differential gene expression, along with more advanced topics such as identification of novel transcription features and pathway and functional enrichment analysis.

Variant detection using Galaxy (15-16 May 2018)

Tue, 15/05/2018 - 09:00 to Wed, 16/05/2018 - 12:30

This 1.5 day workshop will include a short introduction to next-generation sequencing theory and an introduction to Galaxy. The hands-on component of the workshop will cover the concepts of detection small variants, including SNPs and small indels, from next-generation sequencing data. You will use and compare a number of popular variant detection tools, visualise variants using a genome browser, and annotate SNPs for predicted biological effects.

Data preparation, processing and reporting using R (18 May 2018)

Fri, 18/05/2018 - 09:00 to 17:00

This hands-on workshop will introduce users of the R software environment to the techniques involved in generating reproducible, dynamic data analyses and reports. Using literate programming approaches, participants will learn to build automated reusable reports in R. Practical exercises will include integration and manipulation of datasets, generation of summary statistics about a dataset, and how to produce high-quality tables and charts.

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