View source: R/converters_DIANNtoMSstatsFormat.R
DIANNtoMSstatsFormat | R Documentation |
Import Diann files
DIANNtoMSstatsFormat(
input,
annotation = NULL,
global_qvalue_cutoff = 0.01,
qvalue_cutoff = 0.01,
pg_qvalue_cutoff = 0.01,
useUniquePeptide = TRUE,
removeFewMeasurements = TRUE,
removeOxidationMpeptides = TRUE,
removeProtein_with1Feature = TRUE,
use_log_file = TRUE,
append = FALSE,
verbose = TRUE,
log_file_path = NULL,
MBR = TRUE,
quantificationColumn = "FragmentQuantCorrected",
...
)
input |
name of MSstats input report from Diann, which includes feature-level data. |
annotation |
name of 'annotation.txt' data which includes Condition, BioReplicate, Run. |
global_qvalue_cutoff |
The global qvalue cutoff |
qvalue_cutoff |
local qvalue cutoff for library |
pg_qvalue_cutoff |
local qvalue cutoff for protein groups Run should be the same as filename. |
useUniquePeptide |
should unique pepties be removed |
removeFewMeasurements |
should proteins with few measurements be removed |
removeOxidationMpeptides |
should peptides with oxidation be removed |
removeProtein_with1Feature |
should proteins with a single feature be removed |
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 |
MBR |
True if analysis was done with match between runs |
quantificationColumn |
Use 'FragmentQuantCorrected'(default) column for quantified intensities. 'FragmentQuantRaw' can be used instead. |
... |
additional parameters to |
data.frame in the MSstats required format.
Elijah Willie
input_file_path = system.file("tinytest/raw_data/DIANN/diann_input.tsv",
package="MSstatsConvert")
annotation_file_path = system.file("tinytest/raw_data/DIANN/annotation.csv",
package = "MSstatsConvert")
input = data.table::fread(input_file_path)
annot = data.table::fread(annotation_file_path)
output = DIANNtoMSstatsFormat(input, annotation = annot, MBR = FALSE,
use_log_file = FALSE)
head(output)
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