library("prolfquapp")
if(FALSE){
xd <- "outputs-20250407T1707/bfabric/input_dataset.tsv"
annot <- readr::read_tsv(xd)
annotation <- read_annotation(annot, QC = TRUE)
xd <- "outputs-20250407T1707/"
files <- get_mzMine_files(path)
files
undebug(preprocess_mzMine)
res <- preprocess_mzMine(files$data, files$fasta , annotation)
dim(res$lfqdata$data)
res <- preprocess_mzMine(files$data, files$fasta , annotation, annotated = TRUE)
dim(res$lfqdata$data)
}preprocess mzMine input
Description
preprocess mzMine input
Usage
preprocess_mzMine(
quant_data,
fasta_file,
annotation,
pattern_contaminants = NULL,
pattern_decoys = NULL,
annotated = FALSE,
nr_peptides = 1
)
Arguments
quant_data
|
path to mzMine features csv file |
fasta_file
|
path to annotations csv file |
annotation
|
annotation list from read_annotation |
pattern_contaminants
|
regex pattern for contaminants |
pattern_decoys
|
regex pattern for decoys |
annotated
|
if TRUE only keep annotated features |
nr_peptides
|
accepted for interface uniformity but ignored (mzMine features have one child per protein) |
Value
A list containing the prepared LFQData and ProteinAnnotation objects.