MaxQprotein {DDPNA} | R Documentation |
read proteomic quantification data and seperate the protein information and quantification information.
Description
The function will seperate data into 4 parts: protein information, intensity, iBAQ and LFQ (iBAQ and LFQ only fit for 'MaxQuant' software result). For MaxQ data, it can remove the contaminant and reverse protein.
Usage
MaxQprotein(proteinGroups, IDname = "Majority.protein.IDs",
IDtype = "MaxQ", remove = TRUE, QuanCol = NULL,
verbose = 1)
Arguments
proteinGroups |
the proteomic quantification data |
IDname |
The column name of uniprot ID. The default value is " |
IDtype |
" |
remove |
a logical value indicated whether remove contaminant and reverse ID. |
QuanCol |
The quantification data columns. It's only needed when |
verbose |
integer level of verbosity. Zero means silent, 1 means have Diagnostic Messages. |
Value
a list of proteomic information.
protein_IDs |
Portein IDs which is |
intensity |
Quantification intensity informaton. When |
iBAQ |
Quantification iBAQ intensity informaton.(only for |
LFQ |
Quantification LFQ intensity informaton.(only for |
Author(s)
Kefu Liu
Examples
data(ProteomicData)
# example for MaxQ Data
MaxQdata <- MaxQprotein(ProteomicData$MaxQ)
# example for other type Data
otherdata <- MaxQprotein(ProteomicData$none, IDname = "Protein",
IDtype = "none", QuanCol = 2:9)