From Inputs to Insights: A Hands-On Introduction to Bulk RNA-seq AnalysisInfo Location Attendee Categories Contact More Info Event Information
DescriptionApril 27th 2027 (10:00 - 17:00) This full-day, hands-on workshop will introduce you to the key steps involved in analysing and visualising Bulk RNA-seq data. You will learn how RNA-seq data are generated, processed and interpreted, with a particular focus on preparing data for downstream analysis and identifying differentially expressed genes. By the end of the course, you will have a clearer understanding of what Bulk RNA-seq can tell you, how raw sequencing data are transformed into interpretable results, and how to carry out core analysis steps in R. The workshop is designed to combine explanation with practical exercises, giving you the opportunity to work through an RNA-seq analysis workflow in a focused, supportive, in-person environment. Please see the "More Info" tab for further information. Prerequisites: Working knowledge of the R programming language, knowledge of NGS sequencing and pre-processing such as from our online course. If the event is full or closed for registration, and you would like to register last-minute or be added to a waitlist, please e-mail hab@kcl.ac.uk
Event Location
Attendee CategoriesAny participant
Additional ItemsContactMore InformationThis course is for you if: -You already have basic knowledge of R programming language -You work in a biomedical field -You need to start using RNA-seq data -You want to gain a better understanding of what information you can obtain from RNA-seq data -You would like to learn how to carry out differential expression analysis for bulk data -You work best in a focused, in-person environment with live instructor support
-Describe the main steps in a bulk RNA-seq analysis workflow -Understand how RNA-seq data are processed before downstream analysis -Explain how differentially expressed genes are identified -Perform a basic differential expression analysis in R -Read RNA-seq output files into R and work with gene-level data -Annotate and interpret features in an RNA-seq dataset -Create basic visualisations to explore and communicate RNA-seq results | |||||||||||||||
