The Application of an R Language-Based Platform cRacker for Phosphoproteomics Data Analysis

Methods Mol Biol. 2021:2358:221-228. doi: 10.1007/978-1-0716-1625-3_16.

Abstract

Phosphoproteomics has drawn great attention of biologist since phosphorylation is proven to play an important role in regulation of proteins. Mass spectrometry technology has helped with the development of phosphoproteomics due to its ability in generating large amount of detailed information after analyzing the phosphoproteome samples. However, interpreting the phosphoproteome data deprived from mass spectrometry can be time-consuming. Here, we introduced a free R language-based platform which can be used in accelerating phosphoproteome data analysis. This platform has integrated different functions and methods which are popularly used in phosphoproteome data analysis, so users can customize their analysis according to their demands.

Keywords: Mass spectrometry; Phosphoproteomics data analysis; R language; cRacker.

MeSH terms

  • Data Analysis*
  • Language
  • Mass Spectrometry
  • Proteome
  • Proteomics

Substances

  • Proteome