Dataset Information

TMT spikes - Using R and Bioconductor for proteomics data analysis

ABSTRACT: Expected reporter ion ratios: Erwinia peptides: 1:1:1:1:1:1 Enolase spike (sp|P00924|ENO1_YEAST): 10:5:2.5:1:2.5:10 BSA spike (sp|P02769|ALBU_BOVIN): 1:2.5:5:10:5:1 PhosB spike (sp|P00489|PYGM_RABIT): 2:2:2:2:1:1 Cytochrome C spike (sp|P62894|CYC_BOVIN): 1:1:1:1:1:2

INSTRUMENT(S):

ORGANISM(S): Erwinia Carotovora

SUBMITTER: Laurent Gatto

LAB HEAD: Laurent Gatto

PROVIDER: PXD000001 | Pride | 2012-03-07

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	F063721.dat	Other
	F063721.dat-mztab.txt	Txt
	PRIDE_Exp_Complete_Ac_22134.pride.mgf.gz	Mgf
	PRIDE_Exp_Complete_Ac_22134.pride.mztab.gz	Mztab
	PRIDE_Exp_Complete_Ac_22134.xml.gz	Xml

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Publications

Using R and Bioconductor for proteomics data analysis.

Gatto Laurent L Christoforou Andy A

Biochimica et biophysica acta 20130518 1 Pt A

This review presents how R, the popular statistical environment and programming language, can be used in the frame of proteomics data analysis. A short introduction to R is given, with special emphasis on some of the features that make R and its add-on packages premium software for sound and reproducible data analysis. The reader is also advised on how to find relevant R software for proteomics. Several use cases are then presented, illustrating data input/output, quality control, quantitative p ...[more]

PMID: 23692960

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