yeast {baldur} | R Documentation |
Spiked-in data set of reversibly oxidized cysteines
Description
A dataset containing quantification of reversibly oxidized cysteines using
Progenesis. True positives cysteines spiked-in from yeast at two different
concentrations and true negatives from Chlamydomonas reinhardtii with
the same concentration in all samples. To identify true positives one can use
stringr::str_detect(yeast$identifier, 'YEAST')
. For details see
Berg et al. (2019) and if you use this dataset
please cite the same paper.
Usage
yeast
Format
A data frame with 2235 rows and 7 variables:
- identifier
id column for features, true positives contains YEAST and true negatives contains Cre
- ng50_1,ng50_2,ng50_3
Biological replicates with true positives spiked-in from 50 ng yeast cells
- ng100_1,ng100_2,ng100_3
Biological replicates with true positives spiked-in from 100 ng yeast cells
Source
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2619-6
References
Philip Berg, Evan W McConnell, Leslie M Hicks, Sorina C Popescu, George V Popescu (2019). “Evaluation of linear models and missing value imputation for the analysis of peptide-centric proteomics.” BMC bioinformatics, 20(2), 7–16.