62 lines
2 KiB
R
62 lines
2 KiB
R
#' load_fasta
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#'
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#' Loads a fasta file into matrix format ready for
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#' running the hierBAPS algorithm.
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#'
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#' @param msa Either the location of a fasta file or ape DNAbin object containing the multiple sequence alignment data to be clustered
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#' @param keep.singletons A logical indicating whether to consider singleton mutations in calculating the clusters
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#'
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#' @return A character matrix with filtered SNP data
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#'
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#' @examples
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#' msa <- system.file("extdata", "seqs.fa", package = "rBAPS")
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#' snp.matrix <- load_fasta(msa)
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#' @author Gerry Tonkin-Hill, Waldir Leoncio
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#' @seealso rhierbaps::load_fasta
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#' @importFrom ape read.FASTA as.DNAbin
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#' @export
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load_fasta <- function(msa, keep.singletons = FALSE) {
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# Check inputs
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if (is(msa, "character")) {
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if (!file.exists(msa)) stop("Invalid msa or the file does not exist!")
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seqs <- ape::read.FASTA(msa)
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} else if (is(msa, "matrix")) {
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seqs <- ape::as.DNAbin(msa)
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} else if (is(msa, "DNAbin")) {
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seqs <- msa
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} else {
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stop("incorrect input for msa!")
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}
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if (!is.logical(keep.singletons)) stop("Invalid keep.singletons! Must be on of TRUE/FALSE.")
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# Load sequences using ape. This does a lot of the checking for us.
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seq_names <- labels(seqs)
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seqs <- as.character(as.matrix(seqs))
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rownames(seqs) <- seq_names
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seqs[is.na(seqs)] <- "-"
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# Validation -----------------------------------------------------------------
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if (nrow(seqs) < 3) stop("Less than 3 sequences!")
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if (any(!(as.vector(tolower(seqs)) %in% c("a", "c", "g", "t", "n", "-")))) {
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warning("Characters not in acgtnACGTN- will be treated as missing (-)...")
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}
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# Remove conserved columns
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conserved <- colSums(t(t(seqs) == seqs[1, ])) == nrow(seqs)
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seqs <- seqs[, !conserved]
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if (!keep.singletons) {
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# remove singletons as they are uninformative in the algorithm
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is_singleton <- apply(seqs, 2, function(x) {
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tab <- table(x)
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return(x %in% names(tab)[tab == 1])
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})
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seqs[is_singleton] <- "-"
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}
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# Convert gaps and unknowns to same symbol
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seqs[seqs == "n"] <- "-"
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return(seqs)
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}
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