imprints_categorize_peptides: imprints_categorize_peptides

View source: R/imprints_categorize_peptides.R

imprints_categorize_peptidesR Documentation

imprints_categorize_peptides

Description

Function to categorize proteins found as hits by the function imprints_cleaved_peptides

Usage

imprints_categorize_peptides(
  data,
  data_cleaved,
  control,
  save_xlsx = TRUE,
  xlsxname = "RESP_summary_categorized"
)

Arguments

data

The normalized peptides data set, i.e. the outpout from imprints_normalize_peptides.

data_cleaved

The cleavage hits data set, i.e. the outpout from imprints_cleaved_peptides.

control

The control treatment from your dataset.

save_xlsx

Logical to tell if you want to save the categorized hits in an xlsx file. Default to TRUE.

xlsxname

The name of your saved file.

Details

This function will categorize the hits found by the function imprints_cleaved_peptides in 4 main categories: RESP for REgional Stabilization after Proteolysis, SP for Single Peptide, MP for multiple peptides and FP for false positive. When a small 'm' is added to SP or MP it stands for modified.

Value

A data.frame containing the categorized hits. It will add the two columns 'category' and 'details' to the data.frame returned by the function imprints_cleaved_peptides.


mgerault/mineCETSAapp documentation built on April 17, 2025, 7:24 p.m.