We are excited to announce this excellent training opportunity for anyone looking to gain hands-on experience with RNA sequencing data analysis using R and Bioconductor!

Course website: https://www.physalia-courses.org/courses-workshops/course19/

Instructor: Ludwig Geistlinger, Director of Computational Biology, Core for Computational Biomedicine (Harvard Medical School)

This online course on “RNA Sequencing Data Analysis with R/Bioconductor”, from 3–14 November, is designed to provide biologists and bioinformaticians with practical skills to perform rigorous statistical analysis of high-throughput genomic and transcriptomic data.

Participants will learn essential components of RNA-seq analysis workflows, including data visualisation, differential expression analysis, genomic region analysis, and gene set analysis. The course also covers the underlying statistical concepts needed for analysing high-throughput sequencing data, assuming basic familiarity with genomics and R but no prior statistical training.

This online course is a great opportunity to gain practical, hands-on skills in RNA-seq analysis while connecting with an international community of researchers.