#' Creates 'WARNING_mixed_array.csv' as an easy to read automated report of the problematic plates seemingly mixed or wrong or contaminated.
#' vsp33 is absent from the array and should always be a blank spot.
#'
#' @param dir A directory containing the screenmill data
#' @param death_tresh Death threshold for excluding potential pinning residues. default set to '10', stringent treshold.
#'
#'
#' @md
#' @export
check_dead_strains <- function(dir, death_thresh = 10) {
assertthat::assert_that(assertthat::is.string(dir))
assertthat::assert_that(assertthat::is.number(death_thresh))
bio_replicate_file <- read_csv(file.path(dir, 'biological-replicate-annotation.csv'))
sm_data <- screenmill::read_screenmill(dir) %>%
left_join(bio_replicate_file) %>%
mutate(
# Make a numeric cisplatin variable by extracting the number between "-" and "uM"
cisplatin = as.numeric(str_extract(treatment_id, '(?<=-).*(?=(uM))'))
)
sm_data %>%
group_by(query_name, bio_replicate, strain_name) %>%
summarise(
mean_growth = mean(size[cisplatin == 0 & strain_name == 'vps33'])
) %>%
filter(mean_growth > death_thresh )
}
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