From c6135d2082bc91f4747b9684de829e7205fa3cac Mon Sep 17 00:00:00 2001 From: "Matthijs S. Berends" Date: Fri, 26 May 2023 16:10:01 +0200 Subject: [PATCH] updated microorganism codes --- DESCRIPTION | 4 ++-- NEWS.md | 7 ++++--- R/aa_globals.R | 5 +++++ R/aa_helper_functions.R | 7 ++++++- R/data.R | 4 ++-- R/mo.R | 32 +++++++++++++++++++------------- _pkgdown.yml | 10 +++++----- data/microorganisms.codes.rda | Bin 24860 -> 22356 bytes man/antibiotics.Rd | 2 +- man/as.mo.Rd | 6 +++--- man/eucast_rules.Rd | 2 +- man/microorganisms.Rd | 10 +++++----- man/microorganisms.codes.Rd | 4 ++-- man/mo_property.Rd | 8 ++++---- 14 files changed, 59 insertions(+), 42 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 881700da..bf08955d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: AMR -Version: 2.0.0.9019 -Date: 2023-05-24 +Version: 2.0.0.9020 +Date: 2023-05-26 Title: Antimicrobial Resistance Data Analysis Description: Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by diff --git a/NEWS.md b/NEWS.md index f7b2bf3f..cb2d27c0 100755 --- a/NEWS.md +++ b/NEWS.md @@ -1,9 +1,9 @@ -# AMR 2.0.0.9019 +# AMR 2.0.0.9020 ## Changed -* Added oxygen tolerance to over 25,000 bacteria in the `microorganisms` data set +* Added oxygen tolerance from BacDive to over 25,000 bacteria in the `microorganisms` data set * Added `mo_oxygen_tolerance()` to retrieve the values - * Added `mo_is_anaerobic()` to determine which species are obligate anaerobic bacteria + * Added `mo_is_anaerobic()` to determine which genera/species are obligate anaerobic bacteria * Added LPSN and GBIF identifiers, and oxygen tolerance to `mo_info()` * Added SAS Transport files (file extension `.xpt`) to [our download page](https://msberends.github.io/AMR/articles/datasets.html) to use in SAS software * Added microbial codes for Gram-negative/positive anaerobic bacteria @@ -13,6 +13,7 @@ * Fixed a bug for `as.mo()` that led to coercion of `NA` values when using custom microorganism codes * Fixed usage of `icu_exclude` in `first_isolates()` * Improved `as.mo()` algorithm for searching on only species names +* Updated the code table in `microorganisms.codes` # AMR 2.0.0 diff --git a/R/aa_globals.R b/R/aa_globals.R index 0ec7c8ae..32eed3f0 100755 --- a/R/aa_globals.R +++ b/R/aa_globals.R @@ -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).", diff --git a/R/aa_helper_functions.R b/R/aa_helper_functions.R index 4a530ec6..a4f58c3f 100755 --- a/R/aa_helper_functions.R +++ b/R/aa_helper_functions.R @@ -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) { diff --git a/R/data.R b/R/data.R index 88649552..2743d765 100755 --- a/R/data.R +++ b/R/data.R @@ -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 diff --git a/R/mo.R b/R/mo.R index bae76f10..696d7bcc 100755 --- a/R/mo.R +++ b/R/mo.R @@ -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 diff --git a/_pkgdown.yml b/_pkgdown.yml index 14571e68..085f5215 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -116,19 +116,19 @@ navbar: icon: "fa-capsules" href: "reference/av_property.html" # reference instead of an article - text: "With other pkgs" - icon: "fa-circles-overlap" + icon: "fa-layer-plus" menu: - text: "AMR & dplyr/tidyverse" - icon: "fa-circles-overlap" + icon: "fa-layer-plus" href: "articles/other_pkg.html" - text: "AMR & data.table" - icon: "fa-circles-overlap" + icon: "fa-layer-plus" href: "articles/other_pkg.html" - text: "AMR & tidymodels" - icon: "fa-circles-overlap" + icon: "fa-layer-plus" href: "articles/other_pkg.html" - text: "AMR & base R" - icon: "fa-circles-overlap" + icon: "fa-layer-plus" href: "articles/other_pkg.html" - text: "Manual" icon: "fa-book-open" diff --git a/data/microorganisms.codes.rda 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