News, events and workshops

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

Tue, 04/09/2018 - 09:00 to Wed, 05/09/2018 - 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 de novo assembly and initial annotation of a genome from short-read NGS data. You will be introduced to the widely-used de novo assembly pipeline, including quality checking, trimming, concepts of filtering, concepts of annotation and use a selection of tools to identify genomic features of interest.

Mon, 10/09/2018 - 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 2nd September 2018 and get 50% discount (for QFAB members only).

Tue, 18/09/2018 - 09:00 to Wed, 19/09/2018 - 13:00

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.

The workshop will all be based in Galaxy, a platform that provides a simple and user-friendly interface to bioinformatics tools.

Tue, 18/09/2018 - 09:00 to Wed, 19/09/2018 - 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.

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