#' Read hmmer tblout file
#'
#' @param fname file name
#' @import tidyr
#' @import dplyr
#' @export
read.hmmer.tblout <- function(fname) {
col.names <- c(
"target.name",
"target.accession",
"query.name",
"query.accession",
"full.sequence.E.value",
"full.sequence.score",
"full.sequence.bias",
"best.1.domain.E.value",
"best.1.domain.score",
"best.1.domain.bias",
"domain.number.estimation.exp",
"domain.number.estimation.reg",
"domain.number.estimation.clu",
"domain.number.estimation.ov",
"domain.number.estimation.env",
"domain.number.estimation.dom",
"domain.number.estimation.rep",
"domain.number.estimation.inc",
"description.of.target"
)
numeric.cols <- which(col.names == "full.sequence.E.value") : which(col.names == "domain.number.estimation.exp")
integer.cols <- which(col.names == "domain.number.estimation.reg") : which(col.names == "domain.number.estimation.inc")
readLines(fname) %>%
data.frame(line = .) %>%
filter(!grepl("^#", line)) %>%
separate(line, into = col.names, sep = " +", extra = "merge", convert = F) %>%
mutate_at(numeric.cols, as.numeric) %>%
mutate_at(integer.cols, as.integer)
}
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