Exp2_R10_prot: Exp2_R10_prot dataset
In samWieczorek/DAPARdata: Data accompanying the DAPAR and Prostar packages
Exp2_R10_prot R Documentation
Exp2_R10_prot dataset
Description
This dataset is the final outcome of a quantitative mass
spectrometry-based proteomic analysis of two samples containing different
concentrations of 48 human proteins (UPS1 standard from Sigma-Aldrich)
within a constant yeast background (see Ramus et al. (2015) for
details). It contains the abundance values of the different human and
yeast peptides identified and quantified in these two conditions. The two
conditions represent the measured abundances of peptides when respectively
10 fmol and 100 fmol of UPS1 human proteins were mixed with the yeast extract
before mass spectrometry analyses. This results in a concentration ratio of 10.
Three technical replicates were acquired for each condition.
The dataset is either available as a CSV file
(see inst/extdata/Exp2_R10_prot.txt), or as a MSnSet structure
(Exp2_R10_prot.MSnset). In the latter case, the quantitative data are those of
the raw intensities.
Usage
data(Exp2_R10_prot)
Format
An object of class MSnSet related to proteins
quantification. It contains 6 samples divided into two conditions
(10 fmol and 100 fmol) and 948 proteins.
The data frame exprs(Exp2_R10_prot) contains six columns that are the
quantitation of proteins for the six replicates.
The data frame fData(Exp2_R10_prot) contains the meta data about the proteins.
The data frame pData(Exp2_R10_prot) contains the experimental design and gives
few informations about the samples.
Value
An object of class MSnSet related to proteins
quantification.
References
Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D,
Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M,
Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A.
Spiked proteomic standard dataset for testing label-free quantitative software
and statistical methods. Data Brief. 2015 Dec 17;6:286-94.PMID: 26862574.
samWieczorek/DAPARdata documentation built on April 22, 2022, 9:35 p.m.
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| Exp2_R10_prot | R Documentation |
Exp2_R10_prot dataset
Description
This dataset is the final outcome of a quantitative mass spectrometry-based proteomic analysis of two samples containing different concentrations of 48 human proteins (UPS1 standard from Sigma-Aldrich) within a constant yeast background (see Ramus et al. (2015) for details). It contains the abundance values of the different human and yeast peptides identified and quantified in these two conditions. The two conditions represent the measured abundances of peptides when respectively 10 fmol and 100 fmol of UPS1 human proteins were mixed with the yeast extract before mass spectrometry analyses. This results in a concentration ratio of 10. Three technical replicates were acquired for each condition.
The dataset is either available as a CSV file
(see inst/extdata/Exp2_R10_prot.txt), or as a MSnSet structure
(Exp2_R10_prot.MSnset). In the latter case, the quantitative data are those of
the raw intensities.
Usage
data(Exp2_R10_prot)
Format
An object of class MSnSet related to proteins
quantification. It contains 6 samples divided into two conditions
(10 fmol and 100 fmol) and 948 proteins.
The data frame exprs(Exp2_R10_prot) contains six columns that are the quantitation of proteins for the six replicates.
The data frame fData(Exp2_R10_prot) contains the meta data about the proteins.
The data frame pData(Exp2_R10_prot) contains the experimental design and gives few informations about the samples.
Value
An object of class MSnSet related to proteins
quantification.
References
Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A. Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data Brief. 2015 Dec 17;6:286-94.PMID: 26862574.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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