#' Generates output tables for precision
#'
#' @param snv_indel table containing indels and snvs
#' @param cnv table containing cnvs
#'
#' @return
#' @export
#'
#' @examples
make_output_tables_precision <- function(snv_indel, cnv){
## Filter for SNV entries
snv = snv_indel %>%
dplyr::filter(!is.na(coding) & !is.na(amino_acid_change)) %>%
dplyr::filter(!grepl("cnv",type, ignore.case = TRUE)) %>%
dplyr::filter(!grepl(",", gene)) %>%
snvParse()
filtered <- snv_indel %>%
dplyr::filter(is.na(gene) | grepl(",", gene) | is.na(coding) & is.na(amino_acid_change))
## Edit AA changes
snv$three_AA <- sapply(snv$amino_acid_change, amino_acid_conversion_one_to_three )
snv$one_AA <- sapply(snv$amino_acid_change, amino_acid_conversion_three_to_one )
snv$one_AA <- gsub("Ter", "\\*", snv$one_AA)
snv$clinvar_ready_AA <- sapply(snv$three_AA, fsClinvarfix)
snv <- snv %>%
dplyr::select(-contains("cnv_confidence"), -contains("copy_number")) %>%
dplyr::mutate(percent_frequency = as.numeric(percent_frequency))
## Filter for CNV entries
cnv = cnv %>%
dplyr::filter(!is.na(gene)) %>%
dplyr::select(gene, copy_number, cnv_confidence, locus) %>%
cnvParse()
table_ls <- list(snv = snv,
cnv = cnv,
filtered = filtered)
return(table_ls)
}
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