knitr::opts_chunk$set( root.dir = tempdir(), collapse = TRUE, comment = "#>", fig.path = "README-", verbose = TRUE )
The goal of msunfolderr is to unfold mass spec raw files.
By that I Mean that there are tools designed to handle only MS1-MS2 data, so as a hacky solution one can generate a fake raw file containing only 2 levels of ms data to use the tool.
This is a basic example which shows you how to solve a common problem:
require(msunfolderr) # Initially we get the information on all the ms scans from the file. # since the backend of this is the proteowizard sorftware tools, it SHOULD # work with any vendor format just as well datafile <- system.file("extdata", "081218-50fmolMix_180813173507.mzML", package = "msunfolderr") spectable <- get_spectrum_table(datafile, outdir = './tmp') spectable
msfilters <- get_unique_filters(spectable) msfilters # These are all the ms filters that are contained in the selected file
filtergroups <- get_filter_groups(msfilters, TRUE) filtergroups # These would be the MS2-MS3 "pairs"
purrr::map2(names(filtergroups), filtergroups, function(x,y){ outdir <- glue::glue('./tmp{x}', x = x) subset_ms(datafile, y, outdir) mzmlfiles <- dir(outdir, pattern = '.mzML', full.names = TRUE) for (file in mzmlfiles) { reducemslevels(file, filepath.out = glue::glue(file, '_reduced.mzML'), minmslevel = 1, maxmslevel = 3, reduction = 1) } })
system2('ls','tmp*.*', stdout = TRUE)
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