shazam (version 0.1.2)

calcDBObservedMutations: Calculate observed numbers of mutations

Description

calcDBObservedMutations calculates the observed number of mutations for each sequence in the input data.frame.

Usage

calcDBObservedMutations(db, sequenceColumn = "SEQUENCE_IMGT", germlineColumn = "GERMLINE_IMGT_D_MASK", frequency = FALSE, regionDefinition = NULL, mutationDefinition = NULL, nproc = 1)

Arguments

db

data.frame containing sequence data.

sequenceColumn

character name of the column containing input sequences.

germlineColumn

character name of the column containing the germline or reference sequence.

frequency

logical indicating whether or not to calculate mutation frequencies. Default is FALSE.

regionDefinition

RegionDefinition object defining the regions and boundaries of the Ig sequences. If NULL, mutations are counted for entire sequence.

mutationDefinition

MutationDefinition object defining replacement and silent mutation criteria. If NULL then replacement and silent are determined by exact amino acid identity.

nproc

number of cores to distribute the operation over. If the cluster has already been set the call function with nproc = 0 to not reset or reinitialize. Default is nproc = 1.

Value

A modified db data.frame with observed mutation counts for each sequence listed. The columns names are dynamically created based on the regions in the regionDefinition. For example, when using the IMGT_V_NO_CDR3 definition, which defines positions for CDR and FWR, the following columns are added:

• OBSERVED_CDR_R: number of replacement mutations in CDR1 and CDR2 of the V-segment.
• OBSERVED_CDR_S: number of silent mutations in CDR1 and CDR2 of the V-segment.
• OBSERVED_FWR_R: number of replacement mutations in FWR1, FWR2 and FWR3 of the V-segment.
• OBSERVED_FWR_S: number of silent mutations in FWR1, FWR2 and FWR3 of the V-segment.

Details

Mutation count are determined by comparing the input sequences (in the column specified by sequenceColumn) to the germline sequence (in the column specified by germlineColumn).

The mutations are binned as either replacement (R) or silent (S) across the different regions of the sequences as defined by regionDefinition. Typically, this would be the framework (FWR) and complementarity determining (CDR) regions of IMGT-gapped nucleotide sequences. Mutation counts are appended to the input db as additional columns.

See Also

calcObservedMutations is called by this function to get the list of mutations in each sequence grouped by the RegionDefinition. See IMGT_SCHEMES for a set of predefined RegionDefinition objects. See calcDBExpectedMutations for calculating expected mutation frequencies.

Examples

# Subset example data
db <- subset(InfluenzaDb, CPRIMER %in% c("IGHA","IGHM") & 
                          BARCODE %in% c("RL016","RL018","RL019","RL021"))

# Run calcDBObservedMutations()
db_new <- calcDBObservedMutations(db, sequenceColumn="SEQUENCE_IMGT",
                                  germlineColumn="GERMLINE_IMGT_D_MASK",
                                  frequency=TRUE,
                                  regionDefinition=IMGT_V_NO_CDR3,
                                  nproc=1)