prepare_libraries_rt: Prepare libraries of retention times

View source: R/prepare_libraries_rt.R

prepare_libraries_rtR Documentation

Prepare libraries of retention times

Description

This function prepares retention times libraries to be used for later

Usage

prepare_libraries_rt(
  mgf_exp = get_params(step = "prepare_libraries_rt")$files$libraries$temporal$exp$mgf,
  mgf_is = get_params(step = "prepare_libraries_rt")$files$libraries$temporal$is$mgf,
  temp_exp = get_params(step = "prepare_libraries_rt")$files$libraries$temporal$exp$csv,
  temp_is = get_params(step = "prepare_libraries_rt")$files$libraries$temporal$is$csv,
  output_rt = get_params(step = "prepare_libraries_rt")$files$libraries$temporal$prepared,
  output_sop = get_params(step = "prepare_libraries_rt")$files$libraries$sop$prepared$rt,
  col_ik = get_params(step = "prepare_libraries_rt")$names$mgf$inchikey,
  col_rt = get_params(step = "prepare_libraries_rt")$names$mgf$retention_time,
  col_sm = get_params(step = "prepare_libraries_rt")$names$mgf$smiles,
  name_inchikey = get_params(step = "prepare_libraries_rt")$names$inchikey,
  name_rt = get_params(step = "prepare_libraries_rt")$names$rt$library,
  name_smiles = get_params(step = "prepare_libraries_rt")$names$smiles,
  unit_rt = get_params(step = "prepare_libraries_rt")$units$rt
)

Arguments

mgf_exp

MGF containing experimental retention times

mgf_is

MGF containing in silico predicted retention times

temp_exp

File containing experimental retention times

temp_is

File containing in silico predicted retention times

output_rt

Output retention time file

output_sop

Output pseudo sop file

col_ik

Name of the InChIKey in mgf

col_rt

Name of the retention time in mgf

col_sm

Name of the SMILES in mgf

name_inchikey

Name of the InChIKey in file

name_rt

Name of the retention time in file

name_smiles

Name of the SMILES in file

unit_rt

Unit of the retention time. Must be "seconds" or "minutes"

Value

The path to the prepared retention time library

Examples

## Not run: 
tima:::copy_backbone()
go_to_cache()
prepare_libraries_rt()
unlink("data", recursive = TRUE)

## End(Not run)

taxonomicallyinformedannotation/tima-r documentation built on Dec. 20, 2024, 9:32 a.m.