getKmers: Calculate the kmer tatistics of immune repertoires

In abrown435/immunarch-test: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires

Description

Calculate the kmer tatistics of immune repertoires

Usage

getKmers(.data, .k, .col = c("aa", "nt"), .coding = TRUE)

Arguments

.data	The data to be processed. Can be data.frame, data.table, or a list of these objects. Every object must have columns in the immunarch compatible format. immunarch_data_format Competent users may provide advanced data representations: DBI database connections, Apache Spark DataFrame from copy_to or a list of these objects. They are supported with the same limitations as basic objects. Note: each connection must represent a separate repertoire.
.k	Integer. Length of kmers.
.col	Character. Which column to use, pass "aa" (by default) for CDR3 amino acid sequence, pass "nt" for CDR3 nucleotide sequences.
.coding	Logical. If TRUE (by default) then remove all non-coding sequences from input data first.

Value

Data frame with two columns (kmers and their counts).

Examples

data(immdata)
kmers <- getKmers(immdata$data[[1]], 5)
kmers %>% vis()

abrown435/immunarch-test documentation built on July 29, 2020, 12:04 a.m.