Location & dates EMBL Heidelberg, Germany 1 - 4 Apr 2019
Deadlines Application closed

EMBL Courses and Conferences during the Coronavirus pandemic

With the onsite programme paused, many of our events are now being offered in virtual formats.

Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.

More information for participants of events at EMBL Heidelberg can be found here.

Course Overview

This beginner level course provides a basic training in generic statistical bioinformatics data analysis using R and Bioconductor. The course topics include an introduction to Bioconductor, exploration of data using appropriate graphics, basics on statistical testing as well as regression and principal component analysis. A particular focus will be on handling and exploring new generic data sets rather than specialized data.

The course will be a mix of lectures and hands-on training. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of data under the guidance of the lecturers and teaching assistants.


The course is aimed at PhD students, PostDocs and Staff scientists with mid-level experience in R (knowledge of handling of data structures like matrices, data.frames, lists, vectors, numerics, factors and commands like apply, lapply, sapply) are a must. Experience with basic plotting and writing functions is an advantage.


  • Data Analysis with R/Bioconductor
  • R warm-up and basic review
  • Introduction to Bioconductor
  • Basic concepts in Bioinformatics
  • Data Exploration, Preparation and Transformation
  • Data Visualisation

Learning Outcomes

  • Prepare and transform your data into usable formats
  • Explore your data
  • Do simple analysis
  • Better communicate with bioinformaticians


EMBL Courses and Conferences are kindly supported by our Corporate Partnership Programme

Founder partners

  • Leica logo
  • Olympus logo

Corporate partners

  • 10x Genomics_120x82
  • Becton Dickinson logo
  • Bio-Rad logo
  • Boehringer Ingelheim logo
  • Eppendorf logo
  • GSK logo
  • Milteniy Biotec logo
  • NetApp logo
  • Stilla logo
  • ThermoFisher logo

Associate partners

  • Merck logo
  • New England Biolabs logo
  • Nikon logo
  • Promega logo
  • Roche logo
  • Sanofi logo
  • Sartorius logo