Transform and Filter SWATH Data for Statistical Packages


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Documentation for package ‘SWATH2stats’ version 1.16.0

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SWATH2stats-package SWATH2stats
add_genesymbol add_genesymbol: Adds gene symbols to a table
assess_decoy_rate assess_decoy_rate: Assess decoy rate
assess_fdr_byrun Assess assay, peptide and protein level FDR by run (for each MS_injection separately) in OpenSWATH output table
assess_fdr_overall Assess overall FDR in annotated OpenSWATH/pyProphet output table in dependence of m_score cutoff
convert4aLFQ convert4aLFQ: Convert table into the format for aLFQ
convert4mapDIA convert4mapDIA: Convert table into the format for mapDIA
convert4MSstats convert4MSstats: Convert table into the format for MSstats
convert4PECA convert4PECA: Convert table into the format for ROPECA
convert4pythonscript convert4bashscript: Convert data into the format for running a bash script
convert_protein_ids convert_protein_ids: Convert protein ids
count_analytes count_analytes: Counts analytes in different injections
disaggregate disaggregate: Transforms the SWATH data from a peptide- to a transition-level table.
filter_all_peptides Select all proteins that are supported by peptides.
filter_mscore filter_mscore: Filter openSWATH output table according to mscore
filter_mscore_condition filter_mscore: Filter openSWATH output table according to mscore
filter_mscore_fdr Filter annotated OpenSWATH/pyProphet output table to achieve a high FDR quality data matrix with controlled overall protein FDR and quantitative values for all peptides mapping to these high-confidence proteins (up to a desired overall peptide level FDR quality).
filter_mscore_freqobs filter_mscore: Filter openSWATH output table according to mscore
filter_on_max_peptides Filter only for the highest intense peptides
filter_on_min_peptides Filter openSWATH output for proteins that are identified by a minimum of n independent peptides
filter_proteotypic_peptides Filter for proteins that are supported by proteotypic peptides.
import_data import_data: Transforms the column names from a data frame to the required format.
JPP_update Select alternate m_score column in JPP data and avert user
load_mart load_mart: Load a biomart database
mscore4assayfdr Find m_score cutoff to reach a desired FDR on assay level (over the entire OpenSWATH/pyProphet output table)
mscore4pepfdr Find m_score cutoff to reach a desired FDR on peptide level (over the entire OpenSWATH/pyProphet output table)
mscore4protfdr Find m_score cutoff to reach a desired FDR on protein level (over the entire OpenSWATH/pyProphet output table)
MSstats_data Testing dataset in MSstats format
OpenSWATH_data Testing dataset from OpenSWATH
OpenSWATH_data_FDR Testing dataset from OpenSWATH
plot.fdr_cube Plot functionality for FDR assessment result arrays as produced by e.g. the function assess_fdr_byrun()
plot.fdr_table Plot functionality for results of class "fdr_table" as produced by e.g. the function assess_fdr_overall()
plot_correlation_between_samples Plots the correlation between injections.
plot_variation Plots the coefficient of variation for different replicates
plot_variation_vs_total Plots the total variation versus variation within replicates
reduce_OpenSWATH_output Reduce columns of OpenSWATH data
removeDecoyProteins Removes decoy proteins from the protein group label
rmDecoyProt Removes decoy proteins from the protein group label
sample_annotation sample_annotation: Annotate the SWATH data with the sample information
Spyogenes S.pyogenes example data
Study_design Study design table
SWATH2stats SWATH2stats
transform_MSstats_OpenSWATH transform_MSstats_OpenSWATH: Transforms column names to OpenSWATH column names
unifyProteinGroupLabels Unify the protein group labels
write_matrix_peptides write_matrix_peptides: Writes out an overview matrix of peptides mapping to a FDR quality controlled protein master list at controlled global peptide FDR quality.
write_matrix_proteins write_matrix_proteins: Writes out an overview matrix of summed signals per protein identifier (lines) over run_id(columns).