Introduction to RNA Sequencing Data Analysis with R/Bioconductor

Introduction to RNA Sequencing Data Analysis with R/Bioconductor

Online Course: Introduction to RNA Sequencing Data Analysis with R/Bioconductor

Dates: 9, 11, 13, 16, 17, 18 November -Time: 3–6 PM (Berlin time)

Instructor: Ludwig Geistlinger

We are pleased to announce a hands-on online course designed for biologists and bioinformaticians who want to build solid, practical skills in RNA-seq data analysis using R and Bioconductor.

This course provides a structured introduction to the statistical and computational foundations of high-throughput genomic data analysis.

Topics covered:
– Data import, manipulation, and visualization in R (including ggplot2)
– Hypothesis testing and interpretation in biological contexts
– Working with genomic data in Bioconductor (BED, GTF, VCF, FASTA)
– RNA-seq workflows: mapping, counts, normalization, differential expression
– Multiple testing and false discovery rate control
– Gene set and pathway analysis (GO, KEGG) and enrichment methods


In collaboration with Bioconductor

Event Details
  • Days
    Hours
    Min
    Sec
  • Start Date
    November 9, 2026 11:00 PM
  • End Date
    November 10, 2026 2:00 AM
  • It Will Be Repeated On
    • November 11, 2026November 12, 2026
  • Status
    Upcoming
Event Details
  • Days
    Hours
    Min
    Sec
  • Start Date
    November 9, 2026 11:00 PM
  • End Date
    November 10, 2026 2:00 AM
  • It Will Be Repeated On
    • November 11, 2026November 12, 2026
  • Status
    Upcoming
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