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Exploring, visualising and analysing proteomics data in R

Description

This course will present a set of R/Bioconductor packages to access, manipulate, visualise and analyse mass spectrometry (MS) and quantitative proteomics data.

 

Prerequisites

  • The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data.
  • Familiarity with mass spectrometry or proteomics in general is desirable, but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.
  • Participants need to have a working knowledge of R (R syntax, commonly used functions, basic data structures such as data frames, vectors, matrices, … and their manipulation).
  • The Introduction to solving biological problems with R course is suggested as a prerequisite to this course but not compulsory if you already have a working knowledge in R as mentioned above.
  • Familiarity with other Bioconductor omics data classes and the tidyverse syntax is useful, but not required.

 

For additional information, follow this link.

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