countGenes {alakazam}R Documentation

Tabulates V(D)J allele, gene or family usage.

Description

Determines the count and relative abundance of V(D)J alleles, genes or families within groups.

Usage

countGenes(
  data,
  gene,
  groups = NULL,
  copy = NULL,
  clone = NULL,
  fill = FALSE,
  mode = c("gene", "allele", "family", "asis"),
  remove_na = TRUE
)

Arguments

data

data.frame with AIRR-format or Change-O style columns.

gene

column containing allele assignments. Only the first allele in the column will be considered when mode is "gene", "family" or "allele". The value will be used as it is with mode="asis".

groups

columns containing grouping variables. If NULL do not group.

copy

name of the data column containing copy numbers for each sequence. If this value is specified, then total copy abundance is determined by the sum of copy numbers within each gene. This argument is ignored if clone is specified.

clone

name of the data column containing clone identifiers for each sequence. If this value is specified, then one gene will be considered for each clone. Note, this is accomplished by using the most common gene within each clone identifier. As such, ambiguous alleles within a clone will not be accurately represented.

fill

logical of c(TRUE, FALSE) specifying when if groups (when specified) lacking a particular gene should be counted as 0 if TRUE or not (omitted)

mode

one of c("gene", "family", "allele", "asis") defining the degree of specificity regarding allele calls. Determines whether to return counts for genes (calling getGene), families (calling getFamily), alleles (calling getAllele) or using the value as it is in the column gene, without any processing.

remove_na

removes rows with NA values in the gene column if TRUE and issues a warning. Otherwise, keeps those rows and considers NA as a gene in the final counts and relative abundances.

Value

A data.frame summarizing family, gene or allele counts and frequencies with columns:

Additional columns defined by the groups argument will also be present.

Examples

# Without copy numbers
genes <- countGenes(ExampleDb, gene="v_call", groups="sample_id", mode="family")
genes <- countGenes(ExampleDb, gene="v_call", groups="sample_id", mode="gene")
genes <- countGenes(ExampleDb, gene="v_call", groups="sample_id", mode="allele")

# With copy numbers and multiple groups
genes <- countGenes(ExampleDb, gene="v_call", groups=c("sample_id", "c_call"), 
                    copy="duplicate_count", mode="family")

# Count by clone
genes <- countGenes(ExampleDb, gene="v_call", groups=c("sample_id", "c_call"), 
                    clone="clone_id", mode="family")

# Count absent genes 
genes <- countGenes(ExampleDb, gene="v_call", groups="sample_id", 
                    mode="allele", fill=TRUE)


[Package alakazam version 1.1.0 Index]