OpenMStoMSstatsFormat | R Documentation |
Import OpenMS files
OpenMStoMSstatsFormat(
input,
annotation = NULL,
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 OpenMS, which includes feature(peptide ion)-level data. |
annotation |
name of 'annotation.txt' data which includes Condition, BioReplicate, Run. Run should be the same as filename. |
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 'append = TRUE', has to be a valid path to a file. |
... |
additional parameters to 'data.table::fread'. |
data.frame in the MSstats required format.
Meena Choi, Olga Vitek.
openms_raw = data.table::fread(system.file("tinytest/raw_data/OpenMS/openms_input.csv",
package = "MSstatsConvert"))
openms_imported = OpenMStoMSstatsFormat(openms_raw, use_log_file = FALSE)
head(openms_imported)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.