Introduction to R: A Computational Workbench for Biological Data Analysis

Recorded On: 06/10/2017

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The Presenter

Brian Capaldo, PhD
Staff Scientist
National Cancer Institute

Session Summary

This course seeks to provide an introduction to R programming and the cytometry-focused tools in the Bioconductor libraries.

I. Overview of R and Bioconductor

  1. Installing R.
  2. Installing libraries in R.
  3. Installing Bioconductor libraries in R.
  4. Introduction to cytometry packages available in Bioconductor.
  5. Introduction to cytometry packages not available in Bioconductor.

II. Basics of Flow Cytometry Standard file manipulation in R

III. The power of Bioconductor vignettes

  1. Using a vignette to analyze your own data.
  2. Stringing vignettes together to create your own analysis pipelines.

IV. Further resources to explore

  1. CyTOF Forum.
  2. Bioconductor mailing list.
  3. GitHub, SourceForge, and Reddit discussion boards.

V. Conclusions/Discussion

CMLE Credit: 1.5

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Introduction to R: A Computational Workbench for Biological Data Analysis
Recorded 06/10/2017
Recorded 06/10/2017 A CYTO 2017 Scientific Tutorial Presented by Brian Capaldo
CMLE Evaluation Form
11 Questions
11 Questions CMLE Evaluation Form
Completion Credit
1.50 CMLE credits  |  Certificate available
1.50 CMLE credits  |  Certificate available