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isobar (version 1.18.0)

ProteinGroup-class: ProteinGroup objects

Description

The ProteinGroup class is a container for identified peptides and proteins, and groups them to distinguish proteins with specific peptides.

Usage

ProteinGroup(from,template=NULL,proteinInfo=data.frame())
protein.ac(x, protein.g) protein.g(x, pattern, variables=c("AC","name"), ...)

Arguments

from
data.frame object to create a ProteinGroup from. See Details from column specifications
template
'template' ProteinGroup object for grouping.
x
ProteinGroup object
protein
character string
proteinInfo
data.frame for proteinInfo slot
protein.g
character string, denoting a 'protein group'.
pattern
character string, see grep for details.
variables
AC maps a protein accession code to a protein group. name maps using protein information from proteinInfo.
...
Passed on to grep.

Constructor

ProteinGroup(tbl.prot.pep,template=NULL): Creates a ProteinGroup object.
tbl.prot.pep
A 'data.frame' with three columns: 1. Protein, 2. Peptide, 3. Spectrum.
template
Optional ProteinGroup object the grouping is based upon.

Coercion

In the code snippets below, x is a ProteinGroup object.
as(from, "ProteinGroup"):
Creates a ProteinGroup object from a data.frame.
as.data.frame(x, row.names = NULL, optional = FALSE):
Creates a data.frame with columns protein (character), peptide (character), spectrum.
as.concise.data.frame(from):
Creates a 'concise' data.frame with one spectrum per row, and protein ACs combined

Accessors

In the following code snippets, x is a ProteinGroup object.
spectrumToPeptide(x):
Gets spectrum to peptide assignment.
peptideInfo(x):
Peptide information such as protein start position.
peptideSpecificity(x):
Gets a 'data.frame' containing the peptide specificity: they can be reporter-specific, group-specific, or non-specific.
peptideNProtein(x):
Gets peptide to protein assignment.
indistinguishableProteins(x):
Gets the proteins which cannot be distinguished based on peptide evidence.
proteinGroupTable:
Gets the protein grouping, listing reporters and group members.
peptides(x,protein=NULL,specificity=c("reporter-specific", "group-specific","unspecific"),columns="peptide",set=union):
Gets all peptides detected, or just those for a protein with the defined specificity. columns might define multiple columns of peptideSpecificity(x). set=union returns the union of peptides of all proteins defined, set=intersect returns the intersection.

Details

The ProteinGroup class stores spectrum to peptide to protein mapping. The proteins are grouped by their evidence, i. e. peptides:
  • Peptides with changes only from Leucin to Isoleucin are considered the same, as they cannot be distinguished by MS.
  • Proteins which are detected with the same peptides are grouped together to a 'indistinguishable protein'- normally these are splice variants.
  • Proteins with specific peptides are 'reporters'.
  • Proteins with no specific peptides are grouped under these 'reporters.

This information is stored in six slots:

spectra.n.peptides
a named 'character' vector, names being spectrum identifier and values are peptides.

peptide.n.proteins
a 'data.frame' containing the number of proteins the peptides could derive from.

peptide.n.protein
a character 'matrix' linking peptides to proteins.

indistinguishable.proteins
a 'matrix' contain.

See Also

IBSpectra

Examples

Run this code

tbl <- data.frame(spectrum=1:14,peptide=c(rep(letters[1:3],4),"a","x"),
                  modif=":",start.pos=1,
                  protein=c(rep(c("A","B"),each=6),"C","D"))
pg <- ProteinGroup(tbl)
pg
proteinGroupTable(pg)

data(ibspiked_set1)
pg <- proteinGroup(ibspiked_set1)
ceru.proteins <- protein.g(pg,"CERU")

## all ceru peptides
peptides(pg,ceru.proteins)

## peptides shared by all ceru proteins
peptides(pg,ceru.proteins, set=intersect) 

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