fetchPrecursorsInfo: Get precursors from a feature file

View source: R/read_osw.R

fetchPrecursorsInfoR Documentation

Get precursors from a feature file

Description

Get a data-frame of analytes' transition_group_id, transition_ids, peptide_id and amino-acid sequences.

Usage

fetchPrecursorsInfo(
  filename,
  runType = "DIA_Proteomics",
  selectIDs = NULL,
  context = "global",
  maxPeptideFdr = 0.05,
  level = "Peptide",
  useIdentifying = FALSE
)

Arguments

filename

(string) Should be from the RUN.FILENAME column from osw files.

runType

(string) This must be one of the strings "DIA_Proteomics", "DIA_IPF", "DIA_Metabolomics".

selectIDs

(integer) a vector of integers.

context

(string) Context used in pyprophet peptide. Must be either "run-specific", "experiment-wide", or "global".

maxPeptideFdr

(numeric) A numeric value between 0 and 1. It is used to filter peptides from osw file which have SCORE_PEPTIDE.QVALUE less than itself.

level

(string) Apply maxPeptideFDR on Protein as well if specified as "Protein". Default: "Peptide".

useIdentifying

(logical) Set TRUE to use identifying transitions in alignment. (DEFAULT: FALSE)

Value

(data-frames) Data-frame has following columns:

transition_group_id

(integer) a unique id for each precursor.

transition_id

(list) fragment-ion ID associated with transition_group_id. This is matched with chromatogram ID in mzML file.

peptide_id

(integer) a unique id for each peptide. A peptide can have multiple precursors.

sequence

(string) amino-acid sequence of the precursor with possible modifications.

charge

(integer) charge on the precursor.

group_label

(string) TODO Figure it out.

Author(s)

Shubham Gupta, shubh.gupta@mail.utoronto.ca

ORCID: 0000-0003-3500-8152

License: (c) Author (2019) + GPL-3 Date: 2019-04-04

See Also

getRunNames, getPrecursors, getPrecursorsQuery

Examples

dataPath <- system.file("extdata", package = "DIAlignR")
filename <- paste0(dataPath,"/osw/merged.osw")
## Not run: 
precursorsInfo <- fetchPrecursorsInfo(filename, runType = "DIA_Proteomics", context = "experiment-wide")
dim(precursorsInfo) # 234  6

## End(Not run)

shubham1637/DIAlignR documentation built on March 29, 2023, 8:45 p.m.