View source: R/converters_OpenSWATHtoMSstatsFormat.R
OpenSWATHtoMSstatsFormat | R Documentation |
Import OpenSWATH files
OpenSWATHtoMSstatsFormat(
input,
annotation,
filter_with_mscore = TRUE,
mscore_cutoff = 0.01,
useUniquePeptide = TRUE,
removeFewMeasurements = TRUE,
removeProtein_with1Feature = FALSE,
summaryforMultipleRows = max,
use_log_file = TRUE,
append = FALSE,
verbose = TRUE,
log_file_path = NULL,
...
)
input |
name of MSstats input report from OpenSWATH, which includes feature-level data. |
annotation |
name of 'annotation.txt' data which includes Condition, BioReplicate, Run. Run should be the same as filename. |
filter_with_mscore |
TRUE(default) will filter out the features that have greater than mscore_cutoff in m_score column. Those features will be removed. |
mscore_cutoff |
Cutoff for m_score. Default is 0.01. |
useUniquePeptide |
TRUE (default) removes peptides that are assigned for more than one proteins. We assume to use unique peptide for each protein. |
removeFewMeasurements |
TRUE (default) will remove the features that have 1 or 2 measurements across runs. |
removeProtein_with1Feature |
TRUE will remove the proteins which have only 1 feature, which is the combination of peptide, precursor charge, fragment and charge. FALSE is default. |
summaryforMultipleRows |
max(default) or sum - when there are multiple measurements for certain feature and certain run, use highest or sum of multiple intensities. |
use_log_file |
logical. If TRUE, information about data processing will be saved to a file. |
append |
logical. If TRUE, information about data processing will be added to an existing log file. |
verbose |
logical. If TRUE, information about data processing wil be printed to the console. |
log_file_path |
character. Path to a file to which information about
data processing will be saved.
If not provided, such a file will be created automatically.
If |
... |
additional parameters to |
data.frame in the MSstats required format.
Meena Choi, Olga Vitek.
os_raw = system.file("tinytest/raw_data/OpenSWATH/openswath_input.csv",
package = "MSstatsConvert")
annot = system.file("tinytest/raw_data/OpenSWATH/annot_os.csv",
package = "MSstatsConvert")
os_raw = data.table::fread(os_raw)
annot = data.table::fread(annot)
os_imported = OpenSWATHtoMSstatsFormat(os_raw, annot, use_log_file = FALSE)
head(os_imported)
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