Summary report
get_summary_Report.Rd
Generates a summary report
Usage
get_summary_Report(
input_list,
CV_RT_th_hold = 5,
CV_LFQ_Pep_th_hold = 20,
CV_LFQ_PG_th_hold = 20
)
Arguments
- input_list
A list with data frames including ID, DC, MC, LFQ and RT information.
- CV_RT_th_hold
Numeric. User-specified threshold for CV value of retention time precision. Default is 5.
- CV_LFQ_Pep_th_hold
Numeric. User-specified threshold for CV value of quantitative precision. Default is 20.
- CV_LFQ_PG_th_hold
Numeric. User-specified threshold for CV value of quantitative precision. Default is 20.
Value
This function returns a list. For each analysis a respective data frame is stored in the list with the following information:
Analysis - analysis name.
"Median ProteinGroup.IDs abs." - median number of proteingroup identifications.
"Median Protein.IDs abs." - median number of protein identifications.
"Median Peptide.IDs abs." - median number of peptide identifications.
"Median Precursor.IDs abs." - median number of precursor identifications.
"Full profile - Precursor.IDs abs." - number of precursor identifications for full profiles.
"Full profile - Peptide.IDs abs." - number of peptide identifications for full profiles.
"Full profile - Protein.IDs abs." - number of protein identifications for full profiles.
"Full profile - ProteinGroup.IDs abs." - number of proteingroup identifications for full profiles.
"Full profile - Precursor.IDs %" - number of precursor identifications for full profiles in percentage.
"Full profile - Peptide.IDs %" - number of peptide identifications for full profiles in percentage.
"Full profile - Protein.IDs %" - number of protein identifications for full profiles in percentage.
"Full profile - ProteinGroup.IDs %" - number of proteinGroup identifications for full profiles in percentage.
"Precursor.IDs abs. with a CV Retention time < X %" - number of precursor identifications with a CV value for retention time precision under user-specified threshold X.
"Proteingroup.IDs abs. with a CV LFQ < X %" - number of proteingroup identifications with a CV value for quantitative precision under user-specified threshold X.
"Peptide.IDs abs. with a CV LFQ < X %" - number of peptide identifications with a CV value for quantitative precision under user-specified threshold X.
"Peptide IDs with zero missed cleavages abs." - number of peptide identifications with zero missed cleavages.
"Peptide IDs with zero missed cleavages %" - number of peptide identifications with zero missed cleavages in percentage.
Details
For each submitted data a summary report including information about achieved identifications (ID), data completeness (DC), missed cleavages (MC), and both quantitative (LFQ) and retention time (RT) precision is generated.
Examples
# Load libraries
library(tibble)
# Example data
data <- list(
DIANN = list(
filename = "B",
software = "DIA-NN",
data = list(
"DIA-NN" = tibble::tibble(
"Run_mpwR" = c("R01", "R01", "R02", "R03", "R01"),
"Precursor.IDs_mpwR" = c("A1", "A1", "A1", "A1", "B2"),
"Retention.time_mpwR" = c(3, 3.5, 4, 5, 4),
"ProteinGroup_LFQ_mpwR" = c(3, 4, 5, 4, 4),
"Peptide.IDs_mpwR" = c("A", "A", "A", "A", "B"),
"Protein.IDs_mpwR" = c("A", "A", "A", "A", "B"),
"ProteinGroup.IDs_mpwR" = c("A", "A", "A", "A", "B"),
"Stripped.Sequence_mpwR" = c("ABCR", "AKCR", "ABKCK", "ARKAR", "ABCDR")
)
)
)
)
# Result
output <- get_summary_Report(
input_list = data
)