COMBINE RNA-seq Workshop register by 19th Sept

Details:

What: Melbourne RNA-Seq Workshop
Date: 26th-27th September
Registration closes: 5 pm, 19th September
Venue: Seminar Room 2, WEHI (1G Royal Parade, Parkville VIC 3051, Australia)
Registration: www.abacbs.org/rnaseq-analysis-in-r#!event-register/2018/9/26/rna-seq-analysis-in-r
Course materials: combine-australia.github.io/2018-09-26-RNAseq-Melbourne/

The COMBINE Melbourne Team are offering a two-day Introduction to RNA-seq workshop on 26th-27th September in Melbourne.

In this workshop, you will be learning how to analyse RNA-seq count data, using R. This will include reading the data into R, quality control and performing differential expression analysis and gene set testing, with a focus on the limma-voom analysis workflow. You will learn how to generate common plots for analysis and visualisation of gene expression data, such as boxplots and heatmaps. This workshop is aimed at biologists interested in learning how to perform differential expression analysis of RNA-seq data when reference genomes are available.

Catering will be provided. Please bring along your laptop, charged if possible, as there are limited power boards! Any enquiries please contact Holly Whitfield (whitfieldh@student.unimelb.edu.au)

Prerequisites:

  • Some basic R knowledge is assumed. If you are not familiar with the R statistical programming language we strongly encourage you to work through an introductory R course before attempting these materials. We recommend the Software Carpentry R for Reproducible Scientific Analysis lessons up to and including vectorisation.
  • Please bring your own laptop with pre-installed R and RStudio.

Prerequisites:

  • Some basic R knowledge is assumed. If you are not familiar with the R statistical programming language we strongly encourage you to work through an introductory R course before attempting these materials. We recommend the Software Carpentry R for Reproducible Scientific Analysis lessons up to and including vectorisation.
  • Please bring your own laptop with pre-installed R and RStudio.

Registrations are now available here!