rat_srl_example: PeakView SRL

Description Usage Format Details Source

Description

This dataset contains an altered rat spectral reference library created in PeakView. This SRL is for example purposes only.

This dataset contains an altered rat spectral reference library converted from PeakView to OpenSWATH. This SRL is for example purposes only.

Usage

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Format

A data frame containing 10 rows and 24 variables.

Q1

(numeric) - Mass of the peptide

Q3

(numeric) - Mass of the fragment

RT_detected

(character) - Retention time of the peptide

protein_name

(character) - Name of the protein

isotype

(logical) -

relative_intensity

(numeric) - Relative intensity of the fragment

stripped_sequence

(character) - Unmodified sequence of the peptide

modification_sequence

(character) - Modified sequence of the peptide

prec_z

(numeric) - Charge of the peptide

frg_type

(character) - Type of fragment, either "y" or "b"

frg_z

(integer) - Charge of the fragment

frg_nr

(integer) - Fragment number or where on the peptide backbone has the fragmentation occurred

iRT

(numeric) -

uniprot_id

(character) - Accession code as defined by UniProt

score

(logical) -

decoy

(character) - Whether or not this peptide is a decoy, either "True" or "False"

prec_y

(numeric) -

confidence

(numeric) - The confidence that the mass of the peptide and fragment belong to the peptide sequence, between 0 and 1

shared

(character) - Whether or not this peptide is shared with any other proteins, either "True" or "False"

N

(integer) -

rank

(logical) -

mods

(logical) -

nterm

(character) -

cterm

(character) -

Details

Each row corresponds to a MS/MS ion from a Spectral Reference Library. There is only one ion per peptide in this example.

Each row corresponds to a MS/MS ion from a Spectral Reference Library. There is only one ion per peptide in this example.

Source

Spectral reference library created at the Children's Medical Research Intitute in 2017 by Madeleine J Otway.

Spectral reference library created at the Children's Medical Research Intitute in 2017 by Madeleine J Otway, converted into OpenSWATH format by Dr Brett Tully.


madeleineotway/dialects documentation built on May 29, 2019, 3:43 a.m.