P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-07-08 11:51:59 +02:00
Code Releases Activity

updated microorganism codes

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2023-05-26 16:10:01 +02:00
parent 0bcf55d3b6
commit c6135d2082
14 changed files with 59 additions and 42 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
R/aa_globals.R
View File

@ -81,6 +81,11 @@ TAXONOMY_VERSION <- list(
citation = "Parte, AC *et al.* (2020). **List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ.** International Journal of Systematic and Evolutionary Microbiology, 70, 5607-5612; \\doi{10.1099/ijsem.0.004332}.",
url = "https://lpsn.dsmz.de"
),
BacDive = list(
accessed_date = as.Date("2023-05-12"),
citation = "Reimer, LC *et al.* (2022). ***BacDive* in 2022: the knowledge base for standardized bacterial and archaeal data.** Nucleic Acids Res., 50(D1):D741-D74; \\doi{10.1093/nar/gkab961}.",
url = "https://bacdive.dsmz.de"
),
SNOMED = list(
accessed_date = as.Date("2021-07-01"),
citation = "Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microoganism', OID 2.16.840.1.114222.4.11.1009 (v12).",

7
R/aa_helper_functions.R
View File

@ -629,7 +629,12 @@ dataset_UTF8_to_ASCII <- function(df) {
}
documentation_date <- function(d) {
paste0(trimws(format(d, "%e")), " ", month.name[as.integer(format(d, "%m"))], ", ", format(d, "%Y"))
day <- as.integer(format(d, "%e"))
suffix <- rep("th", length(day))
suffix[day %in% c(1, 21, 31)] <- "st"
suffix[day %in% c(2, 22)] <- "nd"
suffix[day %in% c(3, 23)] <- "rd"
paste0(month.name[as.integer(format(d, "%m"))], " ", day, suffix, ", ", format(d, "%Y"))
}
format_included_data_number <- function(data) {

4
R/data.R
View File

@ -141,13 +141,13 @@
#'
#' * `r TAXONOMY_VERSION$GBIF$citation` Accessed from <`r TAXONOMY_VERSION$GBIF$url`> on `r documentation_date(TAXONOMY_VERSION$GBIF$accessed_date)`.
#'
#' * `r TAXONOMY_VERSION$BacDive$citation` Accessed from <`r TAXONOMY_VERSION$BacDive$url`> on `r documentation_date(TAXONOMY_VERSION$BacDive$accessed_date)`.
#'
#' * `r TAXONOMY_VERSION$SNOMED$citation` URL: <`r TAXONOMY_VERSION$SNOMED$url`>
#'
#' * Grimont *et al.* (2007). Antigenic Formulae of the Salmonella Serovars, 9th Edition. WHO Collaborating Centre for Reference and Research on *Salmonella* (WHOCC-SALM).
#'
#' * Bartlett *et al.* (2022). **A comprehensive list of bacterial pathogens infecting humans** *Microbiology* 168:001269; \doi{10.1099/mic.0.001269}
#'
#' * Reimer *et al.* (2022). ***BacDive* in 2022: the knowledge base for standardized bacterial and archaeal data.** *Nucleic Acids Res.* 2022 Jan 7;50(D1):D741-D746; \doi{10.1093/nar/gkab961}
#' @seealso [as.mo()], [mo_property()], [microorganisms.codes], [intrinsic_resistant]
#' @examples
#' microorganisms

32
R/mo.R
View File

@ -100,9 +100,9 @@
#' 6. Berends MS *et al.* (2022). **Trends in Occurrence and Phenotypic Resistance of Coagulase-Negative Staphylococci (CoNS) Found in Human Blood in the Northern Netherlands between 2013 and 2019/** *Micro.rganisms* 10(9), 1801; \doi{10.3390/microorganisms10091801}
#' 7. `r TAXONOMY_VERSION$LPSN$citation` Accessed from <`r TAXONOMY_VERSION$LPSN$url`> on `r documentation_date(TAXONOMY_VERSION$LPSN$accessed_date)`.
#' 8. `r TAXONOMY_VERSION$GBIF$citation` Accessed from <`r TAXONOMY_VERSION$GBIF$url`> on `r documentation_date(TAXONOMY_VERSION$GBIF$accessed_date)`.
#' 9. `r TAXONOMY_VERSION$SNOMED$citation` URL: <`r TAXONOMY_VERSION$SNOMED$url`>
#' 10. Bartlett A *et al.* (2022). **A comprehensive list of bacterial pathogens infecting humans** *Microbiology* 168:001269; \doi{10.1099/mic.0.001269}
#' 11. Reimer *et al.* (2022). ***BacDive* in 2022: the knowledge base for standardized bacterial and archaeal data.** *Nucleic Acids Res.* 2022 Jan 7;50(D1):D741-D746; \doi{10.1093/nar/gkab961}
#' 9. `r TAXONOMY_VERSION$BacDive$citation` Accessed from <`r TAXONOMY_VERSION$BacDive$url`> on `r documentation_date(TAXONOMY_VERSION$BacDive$accessed_date)`.
#' 10. `r TAXONOMY_VERSION$SNOMED$citation` URL: <`r TAXONOMY_VERSION$SNOMED$url`>
#' 11. Bartlett A *et al.* (2022). **A comprehensive list of bacterial pathogens infecting humans** *Microbiology* 168:001269; \doi{10.1099/mic.0.001269}
#' @export
#' @return A [character] [vector] with additional class [`mo`]
#' @seealso [microorganisms] for the [data.frame] that is being used to determine ID's.
@ -281,16 +281,12 @@ as.mo <- function(x,
x_parts <- strsplit(gsub("-", " ", x_out, fixed = TRUE), " ", fixed = TRUE)[[1]]
# do a pre-match on first character (and if it contains a space, first chars of first two terms)
if (length(x_parts) == 1) {
# for genus or species or subspecies
filtr <- which(AMR_env$MO_lookup$full_first == substr(x_parts, 1, 1) |
AMR_env$MO_lookup$species_first == substr(x_parts, 1, 1) |
AMR_env$MO_lookup$subspecies_first == substr(x_parts, 1, 1))
} else if (length(x_parts) %in% c(2, 3)) {
if (length(x_parts) %in% c(2, 3)) {
# for genus + species + subspecies
filtr <- which(AMR_env$MO_lookup$full_first == substr(x_parts[1], 1, 1) &
(AMR_env$MO_lookup$species_first == substr(x_parts[2], 1, 1) |
AMR_env$MO_lookup$subspecies_first == substr(x_parts[2], 1, 1)))
filtr <- which(AMR_env$MO_lookup$full_first == substr(x_parts[1], 1, 1) |
AMR_env$MO_lookup$species_first == substr(x_parts[2], 1, 1) |
AMR_env$MO_lookup$subspecies_first == substr(x_parts[2], 1, 1) |
AMR_env$MO_lookup$subspecies_first == substr(x_parts[3], 1, 1))
} else if (length(x_parts) > 3) {
first_chars <- paste0("(^| )", "[", paste(substr(x_parts, 1, 1), collapse = ""), "]")
filtr <- which(AMR_env$MO_lookup$full_first %like_case% first_chars)
@ -305,7 +301,10 @@ as.mo <- function(x,
msg <- c(msg, paste0("Input \"", x_search, "\" was assumed to be a microorganism code - tried to match on ", vector_and(c(gsub("[a-z]*", "(...)", first_part, fixed = TRUE), second_part), sort = FALSE)))
filtr <- which(AMR_env$MO_lookup$fullname_lower %like_case% paste0("(^| )", first_part, ".* ", second_part))
} else {
filtr <- which(AMR_env$MO_lookup$full_first == substr(x_out, 1, 1))
# for genus or species or subspecies
filtr <- which(AMR_env$MO_lookup$full_first == substr(x_parts, 1, 1) |
AMR_env$MO_lookup$species_first == substr(x_parts, 1, 1) |
AMR_env$MO_lookup$subspecies_first == substr(x_parts, 1, 1))
}
if (length(filtr) == 0) {
mo_to_search <- AMR_env$MO_lookup$fullname
@ -807,9 +806,13 @@ rep.mo <- function(x, ...) {
#' @export
#' @noRd
print.mo_uncertainties <- function(x, n = 10, ...) {
more_than_50 <- FALSE
if (NROW(x) == 0) {
cat(word_wrap("No uncertainties to show. Only uncertainties of the last call of `as.mo()` or any `mo_*()` function are stored.\n\n", add_fn = font_blue))
return(invisible(NULL))
} else if (NROW(x) > 50) {
more_than_50 <- TRUE
x <- x[1:50, , drop = FALSE]
}
cat(word_wrap("Matching scores are based on the resemblance between the input and the full taxonomic name, and the pathogenicity in humans. See `?mo_matching_score`.\n\n", add_fn = font_blue))
@ -917,6 +920,9 @@ print.mo_uncertainties <- function(x, n = 10, ...) {
if (isTRUE(any_maxed_out)) {
cat(font_blue(word_wrap("\nOnly the first ", n, " other matches of each record are shown. Run `print(mo_uncertainties(), n = ...)` to view more entries, or save `mo_uncertainties()` to an object.")))
}
if (isTRUE(more_than_50)) {
cat(font_blue(word_wrap("\nOnly the first 50 uncertainties are shown. Run `View(mo_uncertainties())` to view all entries, or save `mo_uncertainties()` to an object.")))
}
}
#' @method print mo_renamed