The Medical SchoolThe Medical SchoolData Manipulation and VisualizationDescriptionIntroductory course on using R for data analysis This course is being run in-person and online at the following times /dates . Monday 28th October 2024 13:00 - 16:00 Bartolome House, Seminar Room EG03, or Online Wednesday 30th October 2024 13:00 - 16:00 Bartolome House, Seminar Room EG03, or Online Friday 1st November 2024 13:00 - 16:00 301 Glossop Road, Workshop 1 or Online Please only sign-up to the course if you are available on these dates, or prepared to devote time to review any sessions that you miss
Introduction to RNA-seq analysisDescriptionCourse on analysing RNA-seq data without any programming or Bioinformatics experience High-throughput RNA-sequencing is now the standard technique for quantifying transcript abundance in a biological sample of interest. In this course we will describe the processes that take place once you submit a library for RNA sequencing. We will describe the steps involved to go from sequencing counts to a list of genes that show statistically significant differences between your biological conditions of interest. Practical sessions will use the user-friendly Degust interface (https://degust.erc.monash.edu/) to demonstrate tasks such as quality control and assessing differential expression. We will also showcase some web sites you can use for enrichment and pathways analysis
Introduction to using the Command Line for BioinformaticsDescriptionIntroductory course on using the command-line for Bioinformatics analysis This course will introduce you to using the command-line to process NGS data (RNA-seq in particular), and the concept of a reproducible workflow We will be assuming some prior experience of using the command-line. Please see website for details:-
RNA-seq analysis in RDescriptionCourse on analysing RNA-seq data using the R language Note that this course will take place over three days Monday 2nd December 13:00 - 16:00 You will need to attend all sessions in order to complete the course. Some experience of using the R language is required. See our website for further information
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