Published June 27, 2017 | Version v1
Poster Open

A current perspective on using R and Bioconductor for proteomics data analysis

Authors/Creators

  • 1. University of Cambridge
  • 2. Technical University of Denmark
  • 3. PNNL
  • 4. Technical University Dresden

Description

The R statistical environment and programming language is a key player in many domains that require robust data analysis. The Bioconductor project offer a wide range of R packages dedicated to the analysis and comprehension of high throughput biology. Originally focused on genomics, Bioconductor is gaining increasing attention in the proteomics, metabolomics and mass spectrometry communities, as reflected by the download statistics and package contributions.

Notes

Poster presented the HUPO meeting, 5 - 8 October 2014, Madrid.

Files

HUPO2014_rbioc_poster.pdf

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