Material Quantitative Proteomics and Data Analysis Course. 4 - 5 April 2016, Queen Hotel, Chester, UK

Table D - Inspection, visualisation and analysis of quantitative proteomics data, Laurent Gatto (University of Cambridge)

• Slides: http://bit.ly/qprotda
• Details: http://bit.ly/qprotdavig
• GitHub repository: https://github.com/lgatto/Quantitative-Proteomics-and-Data-Analysis

The content of this repository is available under a creative common CC-BY license. You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially.

Gatto L, Breckels LM, Naake T and Gibb S Visualisation of proteomics data using R and Bioconductor. Proteomics. 2015 Feb 18. 10.1002/pmic.201400392.

Gatto L. and Christoforou A. Using R and Bioconductor for proteomics data analysis. Biochim Biophys Acta. 2014 Jan;1844(1 Pt A):42-51. 10.1016/j.bbapap.2013.04.032.

• RforProteomics: http://bioconductor.org/packages/RforProteomics
• R/Bioconductor workflow
• Teaching material for R and more
• Workshops: Software and Data Carpentry, Data Programmers