Gene Name Error Monthly Dashboard
Mark Ziemann
2026-07-22
Source: https://github.com/markziemann/GeneNameErrors2020
View the reports: http://ziemann-lab.net/public/gene_name_errors/
Intro
Gene name errors result when data are imported improperly into MS Excel and other spreadsheet programs (Zeeberg et al, 2004). Certain gene names like MARCH3, SEPT2 and DEC1 are converted into date format. These errors are surprisingly common in supplementary data files in the field of genomics (Ziemann et al, 2016). This could be considered a small error because it only affects a small number of genes, however it is symptomtic of poor data processing methods. The purpose of this script is to identify gene name errors present in supplementary files of PubMed Central articles in the previous month.
library("jsonlite")
library("xml2")
library("reutils")
library("readxl")Get PMC IDs
Here I will be getting PubMed Central IDs for the previous month.
Start with figuring out the date to search PubMed Central.
DATE="2026/5"
#2024-06Let’s see how many PMC IDs we have in the past month.
QUERY ='((genom*[Title/Abstract]))'
ESEARCH_RES <- esearch(term=QUERY, db = "pmc", rettype = "uilist", retmode = "xml", retstart = 0,
retmax = 5000000, usehistory = TRUE, webenv = NULL, querykey = NULL, sort = NULL, field = NULL,
datetype = NULL, reldate = NULL, mindate = DATE, maxdate = DATE)
pmc <- efetch(ESEARCH_RES,retmode="text",rettype="uilist",outfile="pmcids.txt")## Retrieving UIDs 1 to 500## Retrieving UIDs 501 to 1000## Retrieving UIDs 1001 to 1500## Retrieving UIDs 1501 to 2000## Retrieving UIDs 2001 to 2500## Retrieving UIDs 2501 to 3000## Retrieving UIDs 3001 to 3500## Retrieving UIDs 3501 to 4000## Retrieving UIDs 4001 to 4500## Retrieving UIDs 4501 to 5000pmc <- read.table(pmc)
pmc <- paste("PMC",pmc$V1,sep="")
NUM_ARTICLES=length(pmc)
NUM_ARTICLES## [1] 4606writeLines(pmc,con="pmc.txt")Run the screen
Now run the bash script. As PMC has changed and restricts scraping journal articles, it is best to use the dedicated utility called pygetpapers for the download.
Note that false positives can occur (~1.5%) and these results have not been verified by a human.
Here are some definitions:
NUM_XLS = Number of supplementary Excel files in this set of PMC articles.
NUM_XLS_ARTICLES = Number of articles matching the PubMed Central search which have supplementary Excel files.
GENELISTS = The gene lists found in the Excel files. Each Excel file is counted once even it has multiple gene lists.
NUM_GENELISTS = The number of Excel files with gene lists.
NUM_GENELIST_ARTICLES = The number of PMC articles with supplementary Excel gene lists.
ERROR_GENELISTS = Files suspected to contain gene name errors. The dates and five-digit numbers indicate transmogrified gene names.
NUM_ERROR_GENELISTS = Number of Excel gene lists with errors.
NUM_ERROR_GENELIST_ARTICLES = Number of articles with supplementary Excel gene name errors.
ERROR_PROPORTION = This is the proportion of articles with Excel gene lists that have errors.
system("./gene_names.sh pmc.txt")
results <- readLines("results.txt")
XLS <- results[grep("XLS",results,ignore.case=TRUE)]
NUM_XLS = length(XLS)
NUM_XLS## [1] 70321NUM_XLS_ARTICLES = length(unique(sapply(strsplit(XLS," "),"[[",1)))
NUM_XLS_ARTICLES## [1] 1580GENELISTS <- XLS[lapply(strsplit(XLS," "),length)>2]
#GENELISTS
NUM_GENELISTS <- length(unique(sapply(strsplit(GENELISTS," "),"[[",2)))
NUM_GENELISTS## [1] 850NUM_GENELIST_ARTICLES <- length(unique(sapply(strsplit(GENELISTS," "),"[[",1)))
NUM_GENELIST_ARTICLES## [1] 410ERROR_GENELISTS <- XLS[lapply(strsplit(XLS," "),length)>3]
#ERROR_GENELISTS
NUM_ERROR_GENELISTS = length(ERROR_GENELISTS)
NUM_ERROR_GENELISTS## [1] 239GENELIST_ERROR_ARTICLES <- unique(sapply(strsplit(ERROR_GENELISTS," "),"[[",1))
GENELIST_ERROR_ARTICLES## [1] "PMC13221969" "PMC12346696" "PMC13221092" "PMC13216850" "PMC13217714"
## [6] "PMC13217776" "PMC13217673" "PMC13213254" "PMC13203631" "PMC13202214"
## [11] "PMC13207208" "PMC13200827" "PMC13199528" "PMC13199448" "PMC13199580"
## [16] "PMC13197833" "PMC13198024" "PMC13196859" "PMC13196363" "PMC13193880"
## [21] "PMC13194826" "PMC13191290" "PMC12980528" "PMC13187792" "PMC13184278"
## [26] "PMC13182792" "PMC13183039" "PMC13181108" "PMC13179391" "PMC13178563"
## [31] "PMC13178920" "PMC13178659" "PMC13175468" "PMC13172048" "PMC13171877"
## [36] "PMC13172453" "PMC13054911" "PMC12360691" "PMC12115276" "PMC12094665"
## [41] "PMC13167369" "PMC13170728" "PMC13170309" "PMC13168893" "PMC13161541"
## [46] "PMC13163791" "PMC13164035" "PMC13162884" "PMC13163086" "PMC13163006"
## [51] "PMC13162982" "PMC13166836" "PMC13160972" "PMC13160414" "PMC13157171"
## [56] "PMC13156074" "PMC13155464" "PMC13153185" "PMC13152973" "PMC13154703"
## [61] "PMC13155118" "PMC13149032" "PMC13149823" "PMC13149966" "PMC13148343"
## [66] "PMC13144329" "PMC13144441" "PMC13144513" "PMC13142019" "PMC13141746"
## [71] "PMC13143077" "PMC13139607" "PMC13139993" "PMC13137026" "PMC13136445"
## [76] "PMC13138019" "PMC13138337" "PMC13137836" "PMC13134964" "PMC13134830"NUM_ERROR_GENELIST_ARTICLES <- length(GENELIST_ERROR_ARTICLES)
NUM_ERROR_GENELIST_ARTICLES## [1] 80ERROR_PROPORTION = NUM_ERROR_GENELIST_ARTICLES / NUM_GENELIST_ARTICLES
ERROR_PROPORTION## [1] 0.195122Look at the errors detected
Here you can have a look at all the gene lists detected in the past month, as well as those with errors. The dates are obvious errors, these are commonly dates in September, March, December and October. The five-digit numbers represent dates as they are encoded in the Excel internal format. The five digit number is the number of days since 1900. If you were to take these numbers and put them into Excel and format the cells as dates, then these will also mostly map to dates in September, March, December and October.
#GENELISTS
ERROR_GENELISTS## [1] "PMC13221969 zip/Supplementary_Tables.xlsx Hsapiens 2 38231 37135"
## [2] "PMC13221969 zip/Supplementary_Tables.xlsx Hsapiens 2 38231 37135"
## [3] "PMC12346696 PMC_DL/PMC12346696/supplementaryfiles/mmc2.xlsx Mmusculus 1 45903"
## [4] "PMC12346696 PMC_DL/PMC12346696/supplementaryfiles/mmc2.xlsx Mmusculus 1 45903"
## [5] "PMC13221092 PMC_DL/PMC13221092/supplementaryfiles/NIHMS2172163-supplement-Supplementary_Information_Table_2.xlsx Hsapiens 288 45908 45719 45903 45907 45915 45907 45903 45725 45722 45904 45725 45724 45915 45908 45909 45907 45902 45727 45718 45903 45908 45909 45915 45725 45904 45909 45723 45912 45723 45721 45721 45722 45914 45727 45992 45909 45910 45903 45914 45718 45905 45724 45907 45911 45722 45902 45720 45725 45907 45908 45903 45915 45914 45725 45727 45719 45724 45905 45724 45718 45992 45719 45725 45915 45904 45908 45915 45909 45723 45724 45915 45722 45721 45721 45904 45722 45727 45902 45723 45908 45912 45912 45727 45718 45904 45912 45727 45725 45720 45903 45721 45722 45992 45903 45724 45723 45718 45911 45915 45910 45911 45722 45911 45718 45722 45902 45910 45721 45720 45719 45723 45908 45915 45914 45718 45912 45720 45910 45726 45720 45723 45908 45907 45908 45992 45724 45720 45723 45725 45912 45727 45902 45911 45912 45915 45907 45904 45910 45724 45992 45725 45725 45725 45718 45992 45911 45902 45992 45902 45907 45903 45910 45720 45721 45903 45906 45912 45723 45727 45915 45909 45915 45911 45910 45723 45915 45905 45723 45724 45905 45719 45905 45906 45905 45726 45909 45906 45909 45915 45727 45719 45721 45722 45907 45907 45727 45724 45906 45912 45911 45726 45719 45718 45726 45910 45726 45720 45726 45904 45724 45909 45726 45992 45992 45902 45907 45906 45720 45906 45907 45912 45906 45908 45911 45909 45719 45910 45902 45904 45912 45912 45720 45727 45722 45721 45903 45915 45724 45910 45902 45914 45905 45718 45909 45915 45904 45906 45915 45725 45722 45720 45720 45719 45908 45726 45718 45723 45727 45910 45905 45906 45719 45910 45902 45726 45722 45911 45915 45726 45906 45992 45902 45992 45721 45721 45905 45906 45905 45721 45904 45906 45903 45905 45908 45911 45726 45909 45911 45914 45905 45718 45719 45904 45903 45719 45726 45992 45904"
## [6] "PMC13221092 PMC_DL/PMC13221092/supplementaryfiles/NIHMS2172163-supplement-Supplementary_Information_Table_1.xlsx Hsapiens 24 44811 44629 44807 44812 44819 44626 44623 44622 44808 44628 44818 44813 44631 44816 44806 44630 44627 44896 44624 44815 44814 44809 44810 44625"
## [7] "PMC13216850 PMC_DL/PMC13216850/supplementaryfiles/Supplementary_Data1.xlsx Hsapiens 1 37469"
## [8] "PMC13216850 PMC_DL/PMC13216850/supplementaryfiles/Supplementary_Data1.xlsx Hsapiens 1 37469"
## [9] "PMC13217714 PMC_DL/PMC13217714/supplementaryfiles/12915_2026_2599_MOESM1_ESM.xlsx Hsapiens 1 92270"
## [10] "PMC13217776 PMC_DL/PMC13217776/supplementaryfiles/12915_2026_2596_MOESM2_ESM.xls Dmelanogaster 3 45992 45901 45905"
## [11] "PMC13217673 zip/Source_Data_1-CRISPR_screen_results.xlsx Hsapiens 2 45718 45717"
## [12] "PMC13217673 zip/Source_Data_1-CRISPR_screen_results.xlsx Hsapiens 2 45717 45718"
## [13] "PMC13217673 zip/Source_Data_1-CRISPR_screen_results.xlsx Hsapiens 2 45717 45718"
## [14] "PMC13217673 zip/Source_Data_1-CRISPR_screen_results.xlsx Hsapiens 2 45717 45718"
## [15] "PMC13217673 zip/Source_Data_1-CRISPR_screen_results.xlsx Hsapiens 2 45717 45718"
## [16] "PMC13217673 zip/Source_Data_1-CRISPR_screen_results.xlsx Hsapiens 20 45718 45717 45717 45718 45717 45718 45718 45717 45718 45717 45718 45717 45717 45718 45717 45717 45718 45718 45718 45717"
## [17] "PMC13213254 zip/Supplymental_Data_S7.Annotation_of_Zfp998_binding_sites.xlsx Mmusculus 24 44989 44987 45179 44994 44994 45178 45178 45178 45178 44996 44991 44991 45174 44987 44988 44988 44990 44990 45184 45183 45170 45170 45176 45175"
## [18] "PMC13213254 zip/Supplymental_Data_S7.Annotation_of_Zfp998_binding_sites.xlsx Mmusculus 12 44989 45179 44994 44994 45178 44996 44991 44987 44988 44990 45176 45175"
## [19] "PMC13213254 zip/Supplymental_Data_S9.Zfp998_target_genes.xlsx Mmusculus 1 45719"
## [20] "PMC13213254 zip/Supplymental_Data_S9.Zfp998_target_genes.xlsx Mmusculus 1 45719"
## [21] "PMC13213254 zip/Supplymental_Data_S9.Zfp998_target_genes.xlsx Mmusculus 1 45907"
## [22] "PMC13213254 zip/Supplymental_Data_S9.Zfp998_target_genes.xlsx Mmusculus 1 45907"
## [23] "PMC13213254 zip/Supplymental_Data_S4._Differentially_expressed_transcripts_between_Zfp998_KO_cells_and_EpiSC.xlsx Mmusculus 4 45901 45909 45905 45911"
## [24] "PMC13213254 zip/Supplymental_Data_S18.Zfp998_binding_sites_in_hESCs.xlsx Hsapiens 19 45353 45352 45352 45359 45544 45544 45544 45544 45544 45545 45358 45540 45540 45540 45362 45354 45542 45541 45541"
## [25] "PMC13213254 zip/Supplymental_Data_S15.Annotation_of_enhancers_affected_by_Zfp998.xlsx Mmusculus 5 45908 45901 45720 45908 45909"
## [26] "PMC13203631 zip/animals-4243331-supplementary.xlsx Ggallus 1 46087"
## [27] "PMC13203631 zip/animals-4243331-supplementary.xlsx Ggallus 1 46085"
## [28] "PMC13202214 zip/GBE_Imprinting_evolution_Supplementary_tables_20260403.xlsx Mmusculus 3 44986 45173 45173"
## [29] "PMC13202214 zip/GBE_Imprinting_evolution_Supplementary_tables_20260403.xlsx Mmusculus 3 45362 45352 45352"
## [30] "PMC13207208 PMC_DL/PMC13207208/supplementaryfiles/NIHMS2170760-supplement-6.xlsx Hsapiens 27 45906 45915 45718 45717 45907 45914 45725 45911 45904 45726 45909 45910 45723 45720 45902 45912 45901 45718 45992 45722 45727 45719 45908 45905 45903 45724 45721"
## [31] "PMC13200827 PMC_DL/PMC13200827/supplementaryfiles/Table3.xlsx Hsapiens 1 44995"
## [32] "PMC13199528 zip/Supplementary_Materials/2.GSE176078cluster5DEG.xlsx Hsapiens 1 46084"
## [33] "PMC13199448 PMC_DL/PMC13199448/supplementaryfiles/41467_2026_71059_MOESM6_ESM.xlsx Dmelanogaster 5 37135 37500 38231 38596 37226"
## [34] "PMC13199448 PMC_DL/PMC13199448/supplementaryfiles/41467_2026_71059_MOESM4_ESM.xlsx Dmelanogaster 2 11723 11723"
## [35] "PMC13199580 PMC_DL/PMC13199580/supplementaryfiles/41467_2026_70655_MOESM10_ESM.xlsx Mmusculus 2 45176 44991"
## [36] "PMC13199580 PMC_DL/PMC13199580/supplementaryfiles/41467_2026_70655_MOESM10_ESM.xlsx Mmusculus 1 44815"
## [37] "PMC13199580 PMC_DL/PMC13199580/supplementaryfiles/41467_2026_70655_MOESM10_ESM.xlsx Mmusculus 13 45176 45170 45178 45171 45175 44986 44990 44992 45180 45179 44987 44987 44991"
## [38] "PMC13199580 PMC_DL/PMC13199580/supplementaryfiles/41467_2026_70655_MOESM11_ESM.xlsx Rnorvegicus 10 44076 44075 43891 44083 44085 44082 43892 44089 44080 44081"
## [39] "PMC13199580 PMC_DL/PMC13199580/supplementaryfiles/41467_2026_70655_MOESM5_ESM.xlsx Mmusculus 22 45901 45903 45911 45720 45907 45904 45725 45902 45910 45723 45908 45905 45906 45722 45909 45717 45718 45717 45718 45721 45724 45719"
## [40] "PMC13199580 PMC_DL/PMC13199580/supplementaryfiles/41467_2026_70655_MOESM5_ESM.xlsx Hsapiens 6 45904 45726 45905 45727 45720 45910"
## [41] "PMC13199580 PMC_DL/PMC13199580/supplementaryfiles/41467_2026_70655_MOESM5_ESM.xlsx Hsapiens 6 45727 45720 45904 45910 45726 45905"
## [42] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Mmusculus 2 45176 44991"
## [43] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Mmusculus 22 45901 45903 45911 45720 45907 45904 45725 45902 45910 45723 45908 45905 45906 45722 45909 45717 45718 45717 45718 45721 45724 45719"
## [44] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Mmusculus 2 45901 45718"
## [45] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Mmusculus 1 45718"
## [46] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Hsapiens 12 45911 45907 45908 45722 45901 45906 45721 45725 45903 45717 45724 45719"
## [47] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Hsapiens 4 45907 45909 45723 45906"
## [48] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Hsapiens 14 45908 45911 45724 45902 45914 45722 45718 45901 45717 45903 45725 45718 45719 45721"
## [49] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Mmusculus 22 45901 45903 45911 45720 45907 45904 45725 45902 45910 45723 45908 45905 45906 45722 45909 45717 45718 45717 45718 45721 45724 45719"
## [50] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Hsapiens 6 45904 45726 45905 45727 45720 45910"
## [51] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Hsapiens 6 45727 45720 45904 45910 45726 45905"
## [52] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Hsapiens 25 43716 43526 43720 43723 43528 43535 43718 43714 43719 43530 43722 43531 43529 43715 43711 43710 43532 43534 43712 43527 43717 43525 43533 43709 43800"
## [53] "PMC13199580 zip/Source_data/Source_Data_File.xlsx Mmusculus 18 45718 45717 45718 45719 45721 45722 45723 45724 45725 45901 45910 45911 45902 45903 45906 45907 45908 45909"
## [54] "PMC13197833 PMC_DL/PMC13197833/supplementaryfiles/MI-2026-6617402-s001.xlsx Hsapiens 1 45627"
## [55] "PMC13197833 PMC_DL/PMC13197833/supplementaryfiles/MI-2026-6617402-s001.xlsx Hsapiens 1 45627"
## [56] "PMC13198024 zip/Supplementary_Tables.xlsx Hsapiens 2 45992 45726"
## [57] "PMC13198024 zip/Supplementary_Tables.xlsx Hsapiens 2 45992 45726"
## [58] "PMC13196859 PMC_DL/PMC13196859/supplementaryfiles/phm-105-540-s001.xlsx Hsapiens 2 45537 45353"
## [59] "PMC13196859 PMC_DL/PMC13196859/supplementaryfiles/phm-105-540-s001.xlsx Hsapiens 1 45354"
## [60] "PMC13196363 PMC_DL/PMC13196363/supplementaryfiles/mmc2.xlsx Hsapiens 1 37865"
## [61] "PMC13196363 PMC_DL/PMC13196363/supplementaryfiles/mmc2.xlsx Hsapiens 28 42248 37316 36951 40422 39142 38047 37500 40787 36951 38777 40603 37681 39692 39326 41883 37226 39508 38412 39873 41153 37135 37135 38231 40238 40057 37316 38596 37865"
## [62] "PMC13193880 PMC_DL/PMC13193880/supplementaryfiles/Table1.xlsx Hsapiens 5 46087 46088 46088 46088 46082"
## [63] "PMC13194826 PMC_DL/PMC13194826/supplementaryfiles/41598_2026_45960_MOESM2_ESM.xlsx Hsapiens 3 45717 45914 45725"
## [64] "PMC13194826 PMC_DL/PMC13194826/supplementaryfiles/41598_2026_45960_MOESM2_ESM.xlsx Hsapiens 3 45717 45914 45725"
## [65] "PMC13191290 zip/Table_S13.xlsx Hsapiens 1 8-Mar"
## [66] "PMC13191290 zip/Table_S11.xlsx Hsapiens 1 45724"
## [67] "PMC12980528 PMC_DL/PMC12980528/supplementaryfiles/41391_2025_1045_MOESM5_ESM.xlsx Hsapiens 29 45718 45909 45908 45906 45902 45911 45724 45717 45907 45910 45904 45723 45901 45914 45722 45721 45718 45719 45725 45905 45992 45726 45903 45717 45912 45727 45909 45723 45720"
## [68] "PMC12980528 PMC_DL/PMC12980528/supplementaryfiles/41391_2025_1045_MOESM4_ESM.xlsx Hsapiens 29 45909 45906 45717 45718 45908 45911 45904 45724 45901 45902 45907 45910 45719 45914 45723 45722 45721 45725 45718 45905 45992 45726 45903 45727 45912 45720 45909 45723 45717"
## [69] "PMC12980528 PMC_DL/PMC12980528/supplementaryfiles/41391_2025_1045_MOESM3_ESM.xlsx Hsapiens 30 45717 45909 45906 45911 45718 45908 45904 45907 45902 45901 45724 45910 45723 45722 45719 45914 45721 45725 45718 45905 45992 45903 45726 45727 45720 45717 45912 45905 45909 45723"
## [70] "PMC13187792 PMC_DL/PMC13187792/supplementaryfiles/pnas.2601861123.sd01.xlsx Hsapiens 12 45915 45721 45932 45902 45722 45903 45910 45915 45915 45912 45717 45724"
## [71] "PMC13184278 PMC_DL/PMC13184278/supplementaryfiles/41398_2026_4009_MOESM2_ESM.xlsx Hsapiens 11 44450 44261 44263 44256 44441 44440 44445 44258 44260 44262 44449"
## [72] "PMC13184278 PMC_DL/PMC13184278/supplementaryfiles/41398_2026_4009_MOESM2_ESM.xlsx Hsapiens 52 44442 44256 44261 44446 44450 44264 44445 26543 44443 44348 44276 26908 11749 44448 44441 44447 44258 44267 44449 22706 44350 44349 34213 44463 44351 33482 25993 44257 11567 33848 22341 44286 44268 44464 30195 44257 44262 44460 18688 15220 44462 44451 23071 44263 44461 30560 44260 26177 44440 29830 44277 44266"
## [73] "PMC13182792 PMC_DL/PMC13182792/supplementaryfiles/mmc2.xlsx Hsapiens 2 36951 40603"
## [74] "PMC13183039 PMC_DL/PMC13183039/supplementaryfiles/medi-105-e48809-s002.xlsx Hsapiens 4 38047 40238 41153 41883"
## [75] "PMC13183039 PMC_DL/PMC13183039/supplementaryfiles/medi-105-e48809-s002.xlsx Hsapiens 4 38047 40238 41153 41883"
## [76] "PMC13181108 PMC_DL/PMC13181108/supplementaryfiles/42003_2026_9878_MOESM3_ESM.xlsx Hsapiens 29 45718 45903 45904 45718 45907 45906 45723 45911 45725 45912 45720 45717 45722 45914 45908 45724 45902 45992 45726 45719 45901 45915 45727 45909 45905 45717 45910 45721 45901"
## [77] "PMC13181108 PMC_DL/PMC13181108/supplementaryfiles/42003_2026_9878_MOESM3_ESM.xlsx Hsapiens 29 45718 45903 45904 45718 45907 45906 45723 45911 45725 45912 45720 45717 45722 45914 45908 45724 45902 45992 45726 45719 45901 45915 45727 45909 45905 45717 45910 45721 45901"
## [78] "PMC13181108 PMC_DL/PMC13181108/supplementaryfiles/42003_2026_9878_MOESM3_ESM.xlsx Hsapiens 29 45718 45903 45904 45718 45907 45906 45723 45911 45725 45912 45720 45717 45722 45914 45908 45724 45902 45992 45726 45719 45901 45915 45727 45909 45905 45717 45910 45721 45901"
## [79] "PMC13181108 PMC_DL/PMC13181108/supplementaryfiles/42003_2026_9878_MOESM3_ESM.xlsx Hsapiens 29 45718 45903 45904 45718 45907 45906 45723 45911 45725 45912 45720 45717 45722 45914 45908 45724 45902 45992 45726 45719 45901 45915 45727 45909 45905 45717 45910 45721 45901"
## [80] "PMC13181108 PMC_DL/PMC13181108/supplementaryfiles/42003_2026_9878_MOESM3_ESM.xlsx Hsapiens 29 45718 45903 45904 45718 45907 45906 45723 45911 45725 45912 45720 45717 45722 45914 45908 45724 45902 45992 45726 45719 45901 45915 45727 45909 45905 45717 45910 45721 45901"
## [81] "PMC13181108 PMC_DL/PMC13181108/supplementaryfiles/42003_2026_9878_MOESM3_ESM.xlsx Hsapiens 29 45718 45903 45904 45718 45907 45906 45723 45911 45725 45912 45720 45717 45722 45914 45908 45724 45902 45992 45726 45719 45901 45915 45727 45909 45905 45717 45910 45721 45901"
## [82] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [83] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [84] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [85] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [86] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [87] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [88] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [89] "PMC13179391 zip/Figure_4/4K/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [90] "PMC13179391 zip/Figure_4/4H/Figure_4G-G7-nascent-results.xlsx Hsapiens 1 37226"
## [91] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [92] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [93] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [94] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [95] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [96] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [97] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [98] "PMC13179391 zip/Figure_4/4L/Figure_4K+L-Gene_subsets.xlsx Hsapiens 1 37226"
## [99] "PMC13179391 zip/Figure_4/4G/Figure_4G-G7-nascent-results.xlsx Hsapiens 1 37226"
## [100] "PMC13179391 zip/Figure_4/4F/Figure_4F-G7-steadystate-results.xlsx Hsapiens 1 37226"
## [101] "PMC13178563 zip/aed7122_tables_s1_to_s7.xlsx Hsapiens 1 45718"
## [102] "PMC13178920 PMC_DL/PMC13178920/supplementaryfiles/pmed.1004703.s026.xlsx Hsapiens 2 46087 46083"
## [103] "PMC13178659 PMC_DL/PMC13178659/supplementaryfiles/jci-136-201639-s009.xlsx Hsapiens 28 44993 45178 44986 44994 45172 45184 45177 45170 44991 45261 44996 44987 44992 45183 44986 45179 44987 45171 45175 44988 44990 45181 45180 44989 44995 45176 45173 45174"
## [104] "PMC13178659 PMC_DL/PMC13178659/supplementaryfiles/jci-136-201639-s009.xlsx Hsapiens 28 45174 45171 45178 44993 45261 44991 44988 45177 45179 44987 44986 44987 44986 45172 44994 45184 44992 45176 44989 45183 44990 45170 45175 44996 45181 45173 45180 44995"
## [105] "PMC13175468 PMC_DL/PMC13175468/supplementaryfiles/pgen.1012145.s015.xlsx Hsapiens 6 45902 45902 45902 45902 45902 45902"
## [106] "PMC13175468 PMC_DL/PMC13175468/supplementaryfiles/pgen.1012145.s014.xlsx Hsapiens 1 45537"
## [107] "PMC13172048 PMC_DL/PMC13172048/supplementaryfiles/44319_2026_750_MOESM20_ESM.xlsx Hsapiens 1 36951"
## [108] "PMC13172048 PMC_DL/PMC13172048/supplementaryfiles/44319_2026_750_MOESM18_ESM.xlsx Hsapiens 1 36951"
## [109] "PMC13172048 PMC_DL/PMC13172048/supplementaryfiles/44319_2026_750_MOESM17_ESM.xlsx Hsapiens 1 36951"
## [110] "PMC13172048 PMC_DL/PMC13172048/supplementaryfiles/44319_2026_750_MOESM16_ESM.xlsx Hsapiens 1 36951"
## [111] "PMC13172048 PMC_DL/PMC13172048/supplementaryfiles/44319_2026_750_MOESM19_ESM.xlsx Hsapiens 3 40057 38231 36951"
## [112] "PMC13171877 PMC_DL/PMC13171877/supplementaryfiles/42003_2026_9914_MOESM12_ESM.xlsx Hsapiens 12 45992 45717 45726 45727 45718 45719 45720 45721 45722 45723 45724 45725"
## [113] "PMC13171877 PMC_DL/PMC13171877/supplementaryfiles/42003_2026_9914_MOESM12_ESM.xlsx Hsapiens 12 45992 45717 45726 45727 45718 45719 45720 45721 45722 45723 45724 45725"
## [114] "PMC13172453 PMC_DL/PMC13172453/supplementaryfiles/41467_2026_70939_MOESM7_ESM.xlsx Mmusculus 16 39692 37316 38412 39326 40787 37500 38961 42248 37316 39142 38777 40422 39873 39508 40057 37135"
## [115] "PMC13172453 PMC_DL/PMC13172453/supplementaryfiles/41467_2026_70939_MOESM7_ESM.xlsx Mmusculus 16 38412 42248 39142 40422 38961 39873 37500 38777 37316 39326 37316 40787 39692 37135 40057 39508"
## [116] "PMC13054911 zip/TableS3.xlsx Hsapiens 1 45361"
## [117] "PMC13054911 zip/TableS3.xlsx Hsapiens 1 45356"
## [118] "PMC13054911 zip/TableS3.xlsx Hsapiens 1 45361"
## [119] "PMC13054911 zip/TableS3.xlsx Hsapiens 1 45361"
## [120] "PMC13054911 zip/TableS3.xlsx Hsapiens 5 45538 45545 45539 45358 45352"
## [121] "PMC13054911 zip/TableS3.xlsx Hsapiens 1 45361"
## [122] "PMC13054911 zip/TableS3.xlsx Hsapiens 2 45538 45354"
## [123] "PMC13054911 zip/TableS3.xlsx Hsapiens 3 45545 45358 45539"
## [124] "PMC13054911 zip/TableS3.xlsx Hsapiens 1 45359"
## [125] "PMC12360691 PMC_DL/PMC12360691/supplementaryfiles/S0033291725100883sup002.xlsx Hsapiens 13 45355 45357 45353 45359 45361 45358 45550 45627 45356 45354 45352 45362 45360"
## [126] "PMC12115276 PMC_DL/PMC12115276/supplementaryfiles/S0033291725000832sup001.xlsx Hsapiens 28 42248 41153 37865 37226 40057 40238 39326 38777 38596 38961 37316 39142 38412 38231 37500 39873 38047 36951 40787 37681 36951 39692 39508 37316 40603 40422 37135 41883"
## [127] "PMC12094665 zip/Supplementary_Tables_Part_II.xlsx Hsapiens 1 45352"
## [128] "PMC12094665 zip/Supplementary_Tables_Part_II.xlsx Hsapiens 2 45547 45358"
## [129] "PMC13167369 PMC_DL/PMC13167369/supplementaryfiles/sj-xlsx-1-tct-10.1177_15330338261449014.xlsx Hsapiens 2 45689 45690"
## [130] "PMC13170728 PMC_DL/PMC13170728/supplementaryfiles/iovs-67-5-11_s002.xlsx Mmusculus 4 46086 46267 46087 46082"
## [131] "PMC13170728 PMC_DL/PMC13170728/supplementaryfiles/iovs-67-5-11_s003.xlsx Mmusculus 6 46086 46088 46273 46274 46090 46082"
## [132] "PMC13170728 PMC_DL/PMC13170728/supplementaryfiles/iovs-67-5-11_s006.xlsx Mmusculus 2 46266 46274"
## [133] "PMC13170309 PMC_DL/PMC13170309/supplementaryfiles/13071_2026_7388_MOESM3_ESM.xlsx Hsapiens 12 45724 45722 45722 45722 45718 45722 45722 45722 45724 45722 45722 45722"
## [134] "PMC13168893 zip/Source_Data.xlsx Hsapiens 25 44994 45181 44988 44993 44986 45178 45261 44992 45180 45179 44987 45176 44991 45173 44989 45172 45174 44995 45175 45170 45183 44996 45177 44990 45184"
## [135] "PMC13168893 zip/Source_Data.xlsx Hsapiens 1 45992"
## [136] "PMC13168893 zip/Source_Data.xlsx Hsapiens 4 45727 45992 45717 45719"
## [137] "PMC13168893 zip/Source_Data.xlsx Hsapiens 4 45992 45727 45719 45717"
## [138] "PMC13168893 zip/Source_Data.xlsx Hsapiens 4 45727 45719 45992 45717"
## [139] "PMC13168893 zip/Source_Data.xlsx Hsapiens 4 45992 45727 45719 45717"
## [140] "PMC13168893 zip/Source_Data.xlsx Hsapiens 3 45719 45727 45717"
## [141] "PMC13168893 zip/Source_Data.xlsx Hsapiens 4 45727 45992 45717 45719"
## [142] "PMC13161541 zip/Table_S3_PDC000173-108sample.xlsx Hsapiens 3 45356 45357 45358"
## [143] "PMC13161541 zip/Table_S4_PDC000120-125sample.xlsx Hsapiens 3 45356 45357 45358"
## [144] "PMC13163791 zip/Table_S1._Genome-wide_CRISPR_screen_data.xlsx Hsapiens 164 46272 46082 46277 46271 46085 46274 46270 46273 46270 46270 46275 46271 46090 46279 46086 46270 46277 46269 46273 46269 46084 46268 46357 46091 46087 46084 46272 46091 46271 46266 46086 46273 46357 46267 46266 46274 46357 46273 46087 46090 46088 46268 46267 46083 46087 46266 46267 46082 46271 46083 46275 46272 46267 46086 46267 46271 46279 46082 46091 46274 46272 46083 46086 46280 46088 46276 46090 46275 46274 46268 46357 46276 46082 46268 46357 46274 46090 46082 46083 46266 46267 46092 46270 46082 46277 46269 46272 46084 46280 46089 46274 46266 46271 46083 46086 46277 46088 46084 46092 46276 46277 46086 46268 46272 46090 46269 46273 46083 46266 46088 46089 46083 46085 46091 46092 46085 46089 46084 46279 46088 46280 46280 46084 46268 46083 46082 46083 46082 46085 46082 46275 46269 46087 46082 46087 46276 46276 46277 46089 46276 46090 46269 46275 46091 46273 46082 46082 46270 46357 46085 46088 46279 46279 46087 46279 46092 46275 46092 46083 46092 46083 46091 46085 46083"
## [145] "PMC13163791 zip/Table_S1._Genome-wide_CRISPR_screen_data.xlsx Hsapiens 164 46085 46083 46083 46357 46084 46090 46266 46273 46270 46266 46357 46087 46357 46087 46269 46268 46276 46087 46084 46084 46273 46279 46275 46082 46269 46085 46271 46357 46085 46280 46088 46276 46086 46083 46267 46266 46280 46274 46084 46277 46091 46279 46269 46083 46273 46275 46271 46086 46092 46277 46083 46273 46280 46274 46082 46092 46275 46270 46089 46272 46090 46083 46274 46274 46269 46276 46082 46089 46274 46088 46089 46082 46267 46085 46083 46268 46277 46276 46087 46277 46091 46084 46277 46087 46275 46083 46270 46273 46090 46280 46271 46092 46271 46268 46086 46090 46272 46090 46091 46279 46276 46269 46279 46357 46268 46088 46082 46271 46082 46266 46089 46272 46091 46083 46267 46084 46086 46276 46082 46268 46357 46277 46270 46269 46085 46275 46272 46270 46082 46272 46092 46272 46279 46273 46092 46087 46266 46083 46088 46268 46083 46082 46086 46088 46082 46267 46085 46270 46279 46082 46086 46275 46267 46092 46082 46266 46267 46088 46090 46271 46091 46091 46083 46274"
## [146] "PMC13163791 zip/Table_S1._Genome-wide_CRISPR_screen_data.xlsx Hsapiens 28 46084 46083 46280 46357 46085 46276 46087 46266 46273 46279 46269 46274 46277 46275 46083 46088 46092 46271 46090 46089 46270 46268 46086 46082 46272 46091 46267 46082"
## [147] "PMC13164035 zip/Table_S2._Enriched_transcription_factor_binding_motifs_in_LRX_gene_promoters_of_cotton.xlsx Athaliana 2 46268 46268"
## [148] "PMC13162884 zip/Supplementary_Table_S2.xlsx Hsapiens 1 46266"
## [149] "PMC13162884 zip/Supplementary_Table_S2.xlsx Hsapiens 1 46269"
## [150] "PMC13162884 zip/Supplementary_Table_S2.xlsx Hsapiens 1 45901"
## [151] "PMC13162884 zip/Supplementary_Table_S2.xlsx Hsapiens 1 45906"
## [152] "PMC13162884 zip/Supplementary_Table_S2.xlsx Mmusculus 1 45903"
## [153] "PMC13163086 zip/Supplementary_File_S5.xlsx Hsapiens 6 43717 43717 43717 43717 43717 43717"
## [154] "PMC13163086 zip/Supplementary_File_S5.xlsx Hsapiens 4 43717 43717 43717 43717"
## [155] "PMC13163086 zip/Supplementary_File_S5.xlsx Hsapiens 2 43717 43717"
## [156] "PMC13163086 zip/Supplementary_File_S5.xlsx Hsapiens 1 43717"
## [157] "PMC13163006 zip/Table_S7_Annotation_of_the_involved_genes_in_function_network_of_Hydrogenophaga.xlsx Hsapiens 1 MRPL9/11/24/30/32/38/39/47/48/51"
## [158] "PMC13162982 zip/biology-4217529-supplementary.xlsx Hsapiens 20 46084 46089 46266 46272 46083 46083 46082 46275 46267 46271 46086 46269 46088 46276 46090 46087 46273 46274 46270 46082"
## [159] "PMC13166836 PMC_DL/PMC13166836/supplementaryfiles/medi-105-e48456-s005.xlsx Hsapiens 27 45719 45915 45902 45725 45909 45905 45717 45907 45724 45911 45904 45901 1-Mar_1 45906 45992 2-Mar_1 45722 45726 45910 45914 45908 45718 45912 45721 45723 45903 45720"
## [160] "PMC13160972 PMC_DL/PMC13160972/supplementaryfiles/11_2026_2268_MOESM1_ESM.xlsx Hsapiens 52 45718 45718 45717 45717 45717 45718 45718 45718 45717 45717 45722 45718 45718 45717 45717 45717 45717 45717 45722 45724 45718 45719 45719 46089 46089 46089 46083 46083 46083 46083 46083 46083 46083 46083 46083 46083 46083 46083 46088 46088 46087 46087 46087 46087 46087 46087 46087 46087 46087 46087 46084 46084"
## [161] "PMC13160972 PMC_DL/PMC13160972/supplementaryfiles/11_2026_2268_MOESM1_ESM.xlsx Hsapiens 3 46271 46266 46088"
## [162] "PMC13160414 zip/Supplemental_Tables_2-4_ziag070.xlsx Mmusculus 12 46267 46276 46083 46273 46272 46274 46270 46271 46269 46086 46275 46268"
## [163] "PMC13160414 zip/Supplemental_Tables_2-4_ziag070.xlsx Mmusculus 12 46267 46276 46272 46273 46274 46270 46083 46086 46275 46269 46271 46268"
## [164] "PMC13160414 zip/Supplemental_Tables_2-4_ziag070.xlsx Mmusculus 12 46083 46267 46270 46272 46276 46273 46274 46271 46269 46086 46268 46275"
## [165] "PMC13157171 PMC_DL/PMC13157171/supplementaryfiles/mmc5.xlsx Hsapiens 1 45722"
## [166] "PMC13157171 PMC_DL/PMC13157171/supplementaryfiles/mmc6.xlsx Hsapiens 1 45722"
## [167] "PMC13157171 PMC_DL/PMC13157171/supplementaryfiles/mmc10.xlsx Hsapiens 1 45722"
## [168] "PMC13157171 PMC_DL/PMC13157171/supplementaryfiles/mmc7.xlsx Hsapiens 1 45722"
## [169] "PMC13156074 PMC_DL/PMC13156074/supplementaryfiles/ACEL-25-e70494-s001.xls Hsapiens 2 45903 45718"
## [170] "PMC13156074 PMC_DL/PMC13156074/supplementaryfiles/ACEL-25-e70494-s001.xls Hsapiens 1 45911"
## [171] "PMC13155464 PMC_DL/PMC13155464/supplementaryfiles/BRB3-16-e71485-s001.xlsx Hsapiens 2 45724 45721"
## [172] "PMC13153185 PMC_DL/PMC13153185/supplementaryfiles/41467_2026_72783_MOESM3_ESM.xlsx Hsapiens 16 45541 45537 45549 45353 45546 45547 45543 45550 45544 45545 45536 45539 45542 45540 45627 45538"
## [173] "PMC13153185 PMC_DL/PMC13153185/supplementaryfiles/41467_2026_72783_MOESM3_ESM.xlsx Hsapiens 16 45549 45541 45353 45536 45543 45547 45538 45550 45539 45627 45542 45545 45540 45537 45544 45546"
## [174] "PMC13153185 PMC_DL/PMC13153185/supplementaryfiles/41467_2026_72783_MOESM3_ESM.xlsx Hsapiens 16 45538 45547 45543 45541 45545 45353 45546 45539 45549 45627 45544 45550 45537 45536 45542 45540"
## [175] "PMC13153185 PMC_DL/PMC13153185/supplementaryfiles/41467_2026_72783_MOESM3_ESM.xlsx Hsapiens 16 45546 45541 45539 45544 45549 45550 45540 45542 45545 45537 45536 45538 45353 45627 45547 45543"
## [176] "PMC13152973 PMC_DL/PMC13152973/supplementaryfiles/11_2026_2257_MOESM1_ESM.xlsx Hsapiens 64 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727 45727"
## [177] "PMC13152973 PMC_DL/PMC13152973/supplementaryfiles/11_2026_2257_MOESM1_ESM.xlsx Hsapiens 54 45719 45719 45908 45901 45901 45901 45911 45908 45908 45722 45903 45910 45905 45909 45725 45910 45904 45717 45717 45910 45911 45724 45903 45725 45907 45909 45907 45718 45722 45719 45721 45721 45721 45903 45722 45718 45718 45717 45905 45723 45725 45718 45905 45724 45718 45904 45718 45723 45904 45909 45911 45723 45907 45724"
## [178] "PMC13152973 PMC_DL/PMC13152973/supplementaryfiles/11_2026_2257_MOESM1_ESM.xlsx Hsapiens 63 45719 45719 45908 45908 45901 45901 45901 45911 45908 45908 45908 45722 45903 45910 45905 45905 45909 45725 45910 45904 45717 45717 45910 45910 45911 45724 45903 45725 45907 45907 45909 45907 45907 45718 45722 45719 45721 45721 45721 45903 45722 45718 45718 45717 45905 45905 45723 45725 45718 45905 45905 45724 45718 45904 45718 45723 45904 45909 45911 45723 45907 45907 45724"
## [179] "PMC13152973 PMC_DL/PMC13152973/supplementaryfiles/11_2026_2257_MOESM1_ESM.xlsx Hsapiens 5 45727 45719 45914 45724 45909"
## [180] "PMC13152973 PMC_DL/PMC13152973/supplementaryfiles/11_2026_2257_MOESM1_ESM.xlsx Hsapiens 8 45727 45717 45909 45717 45717 45914 45909 45905"
## [181] "PMC13152973 PMC_DL/PMC13152973/supplementaryfiles/11_2026_2257_MOESM1_ESM.xlsx Hsapiens 1 45727"
## [182] "PMC13154703 PMC_DL/PMC13154703/supplementaryfiles/13567_2025_1661_MOESM25_ESM.xlsx Hsapiens 2 43713 10-Mar"
## [183] "PMC13155118 PMC_DL/PMC13155118/supplementaryfiles/meynard_doumenc_tables2_wrag090.xlsx Hsapiens 1 33725"
## [184] "PMC13149032 zip/SuppTable9.xlsx Hsapiens 14 46083 46082 46088 46085 46082 46087 46092 46084 46357 46089 46086 46090 46091 46083"
## [185] "PMC13149032 zip/SuppTable11.xlsx Hsapiens 2 45353 45360"
## [186] "PMC13149823 PMC_DL/PMC13149823/supplementaryfiles/41598_2026_43789_MOESM3_ESM.xlsx Hsapiens 9 40422 38961 38412 40057 40787 37500 37316 39326 39692"
## [187] "PMC13149966 PMC_DL/PMC13149966/supplementaryfiles/41467_2026_70853_MOESM5_ESM.xlsx Hsapiens 2 45543 45358"
## [188] "PMC13149966 PMC_DL/PMC13149966/supplementaryfiles/41467_2026_70853_MOESM4_ESM.xlsx Hsapiens 27 45540 45357 45353 45360 45358 45361 45362 45539 45359 45352 45537 45542 45547 45546 45545 45355 45353 45549 45538 45543 45352 45627 45354 45544 45550 45356 45536"
## [189] "PMC13149966 PMC_DL/PMC13149966/supplementaryfiles/41467_2026_70853_MOESM4_ESM.xlsx Hsapiens 27 45540 45357 45353 45360 45358 45361 45362 45539 45359 45352 45537 45542 45547 45546 45545 45355 45353 45549 45538 45543 45352 45627 45354 45544 45550 45356 45536"
## [190] "PMC13149966 PMC_DL/PMC13149966/supplementaryfiles/41467_2026_70853_MOESM4_ESM.xlsx Hsapiens 27 45540 45357 45353 45360 45358 45361 45362 45539 45359 45352 45537 45542 45547 45546 45545 45355 45353 45549 45538 45543 45352 45627 45354 45544 45550 45356 45536"
## [191] "PMC13148343 zip/adu3728_table_s1.xlsx Hsapiens 10 44989 44986 44986 44991 44993 44990 44993 44994 44995 44995"
## [192] "PMC13148343 zip/adu3728_table_s1.xlsx Hsapiens 20 44989 44989 44992 44988 44988 44988 44988 45261 45261 45261 45261 45261 44993 44993 44993 44993 44993 44993 44993 44994"
## [193] "PMC13148343 zip/adu3728_table_s9.xlsx Hsapiens 1 45352"
## [194] "PMC13148343 zip/adu3728_table_s9.xlsx Hsapiens 1 43891"
## [195] "PMC13144329 PMC_DL/PMC13144329/supplementaryfiles/41467_2026_71450_MOESM9_ESM.xlsx Hsapiens 1 45901"
## [196] "PMC13144441 PMC_DL/PMC13144441/supplementaryfiles/44318_2026_736_MOESM6_ESM.xlsx Mmusculus 19 45911 45720 45912 45902 45723 45719 45902 45914 45721 45724 45903 45906 45904 45722 45718 45725 45907 45718 45901"
## [197] "PMC13144441 PMC_DL/PMC13144441/supplementaryfiles/44318_2026_736_MOESM6_ESM.xlsx Mmusculus 18 45718 45723 45907 45901 45903 45914 45725 45906 45902 45902 45911 45722 45912 45719 45724 45718 45721 45720"
## [198] "PMC13144513 PMC_DL/PMC13144513/supplementaryfiles/44320_2026_190_MOESM8_ESM.xlsx Mmusculus 4 39692 38961 38412 37865"
## [199] "PMC13144513 PMC_DL/PMC13144513/supplementaryfiles/44320_2026_190_MOESM8_ESM.xlsx Mmusculus 4 39692 38961 38412 36951"
## [200] "PMC13144513 PMC_DL/PMC13144513/supplementaryfiles/44320_2026_190_MOESM8_ESM.xlsx Mmusculus 5 39692 38961 38412 36951 39692"
## [201] "PMC13142019 PMC_DL/PMC13142019/supplementaryfiles/mmc2.xlsx Hsapiens 28 40057 39692 37865 38596 41153 37135 37500 36951 37316 40238 37135 40603 39326 38777 38412 38047 37681 39508 39873 42248 40787 40422 38231 37226 36951 37316 39142 41883"
## [202] "PMC13141746 PMC_DL/PMC13141746/supplementaryfiles/mmc4.xlsx Hsapiens 11 44987 44986 44995 44992 44993 44990 44996 44988 44991 44989 44994"
## [203] "PMC13143077 PMC_DL/PMC13143077/supplementaryfiles/ppat.1014184.s012.xlsx Hsapiens 13 45724 45720 45718 45723 45721 45725 45718 45717 45719 45726 45722 45992 45717"
## [204] "PMC13143077 PMC_DL/PMC13143077/supplementaryfiles/ppat.1014184.s013.xlsx Hsapiens 13 45718 45992 45723 45718 45720 45721 45725 45717 45726 45724 45722 45719 45717"
## [205] "PMC13139607 PMC_DL/PMC13139607/supplementaryfiles/41467_2026_70694_MOESM4_ESM.xlsx Hsapiens 1 45902"
## [206] "PMC13139993 PMC_DL/PMC13139993/supplementaryfiles/IJC-159-144-s009.xlsx Hsapiens 6 45719 45904 45903 45911 45717 45901"
## [207] "PMC13137026 PMC_DL/PMC13137026/supplementaryfiles/mmc10.xlsx Hsapiens 1 45722"
## [208] "PMC13137026 PMC_DL/PMC13137026/supplementaryfiles/mmc10.xlsx Hsapiens 1 45722"
## [209] "PMC13137026 PMC_DL/PMC13137026/supplementaryfiles/mmc8.xlsx Hsapiens 14 45725 45723 45718 45717 45724 45721 18688 45722 45719 45747 45727 11749 12114 22341"
## [210] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 3 38231 39508 36951"
## [211] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 3 37865 38231 36951"
## [212] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 6 37316 38231 37316 38961 42248 38596"
## [213] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 12 37865 38231 39142 38047 37500 37681 42248 40603 40057 38596 40422 38412"
## [214] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 18 39142 36951 39508 37500 37681 42248 40603 40057 38596 36951 40422 38412 42248 40603 40057 38596 40422 38412"
## [215] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 19 38961 39142 36951 39508 37500 37681 42248 40603 40057 38596 36951 40422 38412 42248 40603 40057 38596 40422 38412"
## [216] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 15 38231 37316 42248 40603 40057 38596 36951 40422 38412 42248 40603 40057 38596 40422 38412"
## [217] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 6 38231 37316 40057 38596 40422 38412"
## [218] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 13 37316 38231 39326 38961 39142 40787 39873 39692 37681 37135 42248 40057 40422"
## [219] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 15 37865 36951 37316 38231 39326 38961 39142 40787 39873 39692 37681 37135 42248 40057 40422"
## [220] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 13 37865 40787 39692 37681 42248 40057 38596 39692 37681 37135 42248 40057 40422"
## [221] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 13 39326 40787 37681 38596 42248 40057 38596 39692 37681 37135 42248 40057 40422"
## [222] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 18 38231 37316 37681 38596 38231 37316 40787 41153 41883 39508 40238 37681 37135 40603 38596 36951 40422 38412"
## [223] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 16 38231 37316 39326 38961 39142 40787 39873 38777 39692 37500 37135 42248 40057 38596 36951 40422"
## [224] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 12 37316 38231 37316 38961 42248 38596 39692 37681 37135 42248 40057 40422"
## [225] "PMC13136445 PMC_DL/PMC13136445/supplementaryfiles/12672_2026_4910_MOESM2_ESM.xlsx Hsapiens 14 38231 37316 40787 41153 41883 39508 40238 37681 37135 40603 38596 36951 40422 38412"
## [226] "PMC13138019 PMC_DL/PMC13138019/supplementaryfiles/Supplemental_Table_S4.xlsx Hsapiens 9 45910 45723 45720 45722 45721 45901 45901 45718 45905"
## [227] "PMC13138019 PMC_DL/PMC13138019/supplementaryfiles/Supplemental_Table_S3.xlsx Hsapiens 39 45718 45718 45724 45912 45901 45901 45901 45904 45909 45909 45718 45723 45723 45723 45723 45723 45723 45723 45723 45723 45723 45723 45902 45902 45905 45905 45903 45911 45722 45722 45722 45722 45722 45722 45722 45727 45727 45719 45907"
## [228] "PMC13138337 PMC_DL/PMC13138337/supplementaryfiles/Supplemental_Table_S6.xlsx Hsapiens 6 45720 45719 45725 45720 45719 45721"
## [229] "PMC13137836 PMC_DL/PMC13137836/supplementaryfiles/ADVS-13-e17231-s002.xlsx Hsapiens 16 39142 39142 39142 39142 39142 39142 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681"
## [230] "PMC13137836 PMC_DL/PMC13137836/supplementaryfiles/ADVS-13-e17231-s002.xlsx Hsapiens 6 37500 37500 37500 37500 38596 38596"
## [231] "PMC13137836 PMC_DL/PMC13137836/supplementaryfiles/ADVS-13-e17231-s002.xlsx Hsapiens 20 39142 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681"
## [232] "PMC13137836 PMC_DL/PMC13137836/supplementaryfiles/ADVS-13-e17231-s002.xlsx Hsapiens 114 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39873 39873 39873 39873 39873 39873 39873 39873 39873 39873 39873 39873 39873 39873 39873 41153 41153 41153 41153 41153 41153 41153 41153 41153 37135 37135 37135 37135 37135 37135 38231 38231 38231 40238 37316 37316 37316 37316 37316 39142 39142 39142 39142 39142 39142 38047 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 37865 37865 37865 37865 37865 37865 37865 36951 38777 38777 38777 40603 40603 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326"
## [233] "PMC13137836 PMC_DL/PMC13137836/supplementaryfiles/ADVS-13-e17231-s002.xlsx Hsapiens 87 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39508 39873 39873 39873 39873 39873 39873 41153 41153 37135 37135 40238 40238 38047 38047 38047 37500 37500 37500 37500 38596 38596 37865 37865 40787 40787 40787 40787 38777 38777 38777 40603 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 37681 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 39326 37226 37226"
## [234] "PMC13134964 PMC_DL/PMC13134964/supplementaryfiles/41467_2026_71951_MOESM4_ESM.xlsx Hsapiens 25 45910 45719 45903 45726 45718 45905 45911 45908 45912 45992 45718 45904 45901 45720 45717 45907 45724 45722 45721 45725 45906 45902 45717 45909 45723"
## [235] "PMC13134830 zip/hcaf281_Supplementary_Data/Supplementary_Tables.xlsx Hsapiens 4 45537 45353 45352 45356"
## [236] "PMC13134830 zip/hcaf281_Supplementary_Data/Supplementary_Tables.xlsx Hsapiens 4 45537 45353 45352 45356"
## [237] "PMC13134830 zip/hcaf281_Supplementary_Data/Supplementary_Tables.xlsx Hsapiens 5 45353 45352 45537 45356 45549"
## [238] "PMC13134830 zip/hcaf281_Supplementary_Data/Supplementary_Tables.xlsx Hsapiens 3 45353 45352 45537"
## [239] "PMC13134830 zip/hcaf281_Supplementary_Data/Supplementary_Tables.xlsx Hsapiens 1 45353"In depth look at the errors
Let’s investigate the errors in more detail.
# By species
SPECIES <- sapply(strsplit(ERROR_GENELISTS," "),"[[",3)
table(SPECIES)## SPECIES
## Athaliana Dmelanogaster Ggallus Hsapiens Mmusculus
## 1 3 2 196 36
## Rnorvegicus
## 1par(mar=c(5,12,4,2))
barplot(table(SPECIES),horiz=TRUE,las=1)
par(mar=c(5,5,4,2))
# Number of affected Excel files per paper
DIST <- table(sapply(strsplit(ERROR_GENELISTS," "),"[[",1))
DIST##
## PMC12094665 PMC12115276 PMC12346696 PMC12360691 PMC12980528 PMC13054911
## 2 1 2 1 3 9
## PMC13134830 PMC13134964 PMC13136445 PMC13137026 PMC13137836 PMC13138019
## 5 1 16 3 5 2
## PMC13138337 PMC13139607 PMC13139993 PMC13141746 PMC13142019 PMC13143077
## 1 1 1 1 1 2
## PMC13144329 PMC13144441 PMC13144513 PMC13148343 PMC13149032 PMC13149823
## 1 2 3 4 2 1
## PMC13149966 PMC13152973 PMC13153185 PMC13154703 PMC13155118 PMC13155464
## 4 6 4 1 1 1
## PMC13156074 PMC13157171 PMC13160414 PMC13160972 PMC13161541 PMC13162884
## 2 4 3 2 2 5
## PMC13162982 PMC13163006 PMC13163086 PMC13163791 PMC13164035 PMC13166836
## 1 1 4 3 1 1
## PMC13167369 PMC13168893 PMC13170309 PMC13170728 PMC13171877 PMC13172048
## 1 8 1 3 2 5
## PMC13172453 PMC13175468 PMC13178563 PMC13178659 PMC13178920 PMC13179391
## 2 2 1 2 1 19
## PMC13181108 PMC13182792 PMC13183039 PMC13184278 PMC13187792 PMC13191290
## 6 1 2 2 1 2
## PMC13193880 PMC13194826 PMC13196363 PMC13196859 PMC13197833 PMC13198024
## 1 2 2 2 2 2
## PMC13199448 PMC13199528 PMC13199580 PMC13200827 PMC13202214 PMC13203631
## 2 1 19 1 2 2
## PMC13207208 PMC13213254 PMC13216850 PMC13217673 PMC13217714 PMC13217776
## 1 9 2 6 1 1
## PMC13221092 PMC13221969
## 2 2summary(as.numeric(DIST))## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 1.000 2.000 2.987 3.000 19.000hist(DIST,main="Number of affected Excel files per paper")
# PMC Articles with the most errors
DIST_DF <- as.data.frame(DIST)
DIST_DF <- DIST_DF[order(-DIST_DF$Freq),,drop=FALSE]
head(DIST_DF,20)## Var1 Freq
## 54 PMC13179391 19
## 69 PMC13199580 19
## 9 PMC13136445 16
## 6 PMC13054911 9
## 74 PMC13213254 9
## 44 PMC13168893 8
## 26 PMC13152973 6
## 55 PMC13181108 6
## 76 PMC13217673 6
## 7 PMC13134830 5
## 11 PMC13137836 5
## 36 PMC13162884 5
## 48 PMC13172048 5
## 22 PMC13148343 4
## 25 PMC13149966 4
## 27 PMC13153185 4
## 32 PMC13157171 4
## 39 PMC13163086 4
## 5 PMC12980528 3
## 10 PMC13137026 3MOST_ERR_FILES = as.character(DIST_DF[1,1])
MOST_ERR_FILES## [1] "PMC13179391"# Number of errors per paper
NERR <- as.numeric(sapply(strsplit(ERROR_GENELISTS," "),"[[",4))
names(NERR) <- sapply(strsplit(ERROR_GENELISTS," "),"[[",1)
NERR <-tapply(NERR, names(NERR), sum)
NERR## PMC12094665 PMC12115276 PMC12346696 PMC12360691 PMC12980528 PMC13054911
## 3 28 2 13 88 16
## PMC13134830 PMC13134964 PMC13136445 PMC13137026 PMC13137836 PMC13138019
## 17 25 196 16 243 48
## PMC13138337 PMC13139607 PMC13139993 PMC13141746 PMC13142019 PMC13143077
## 6 1 6 11 28 26
## PMC13144329 PMC13144441 PMC13144513 PMC13148343 PMC13149032 PMC13149823
## 1 37 13 32 16 9
## PMC13149966 PMC13152973 PMC13153185 PMC13154703 PMC13155118 PMC13155464
## 83 195 64 2 1 2
## PMC13156074 PMC13157171 PMC13160414 PMC13160972 PMC13161541 PMC13162884
## 3 4 36 55 6 5
## PMC13162982 PMC13163006 PMC13163086 PMC13163791 PMC13164035 PMC13166836
## 20 1 13 356 2 27
## PMC13167369 PMC13168893 PMC13170309 PMC13170728 PMC13171877 PMC13172048
## 2 49 12 12 24 7
## PMC13172453 PMC13175468 PMC13178563 PMC13178659 PMC13178920 PMC13179391
## 32 7 1 56 2 19
## PMC13181108 PMC13182792 PMC13183039 PMC13184278 PMC13187792 PMC13191290
## 174 2 8 63 12 2
## PMC13193880 PMC13194826 PMC13196363 PMC13196859 PMC13197833 PMC13198024
## 5 6 29 3 2 4
## PMC13199448 PMC13199528 PMC13199580 PMC13200827 PMC13202214 PMC13203631
## 7 1 194 1 6 2
## PMC13207208 PMC13213254 PMC13216850 PMC13217673 PMC13217714 PMC13217776
## 27 68 2 30 1 3
## PMC13221092 PMC13221969
## 312 4hist(NERR,main="number of errors per PMC article")
NERR_DF <- as.data.frame(NERR)
NERR_DF <- NERR_DF[order(-NERR_DF$NERR),,drop=FALSE]
head(NERR_DF,20)## NERR
## PMC13163791 356
## PMC13221092 312
## PMC13137836 243
## PMC13136445 196
## PMC13152973 195
## PMC13199580 194
## PMC13181108 174
## PMC12980528 88
## PMC13149966 83
## PMC13213254 68
## PMC13153185 64
## PMC13184278 63
## PMC13178659 56
## PMC13160972 55
## PMC13168893 49
## PMC13138019 48
## PMC13144441 37
## PMC13160414 36
## PMC13148343 32
## PMC13172453 32MOST_ERR = rownames(NERR_DF)[1]
MOST_ERR## [1] "PMC13163791"Journals affected
GENELIST_ERROR_ARTICLES <- gsub("PMC","",GENELIST_ERROR_ARTICLES)
### JSON PARSING is more reliable than XML
ARTICLES <- esummary( GENELIST_ERROR_ARTICLES , db="pmc" , retmode = "json" )
ARTICLE_DATA <- reutils::content(ARTICLES,as= "parsed")
ARTICLE_DATA <- ARTICLE_DATA$result
ARTICLE_DATA <- ARTICLE_DATA[2:length(ARTICLE_DATA)]
JOURNALS <- unlist(lapply(ARTICLE_DATA,function(x) {x$fulljournalname} ))
JOURNALS_TABLE <- table(JOURNALS)
JOURNALS_TABLE <- JOURNALS_TABLE[order(-JOURNALS_TABLE)]
length(JOURNALS_TABLE)## [1] 55par(mar=c(5,25,4,2))
barplot(head(JOURNALS_TABLE,10), horiz=TRUE, las=1,
xlab="Articles with gene name errors in supp files",
main="Top journals this month")
Journal of the month winner
Congrats to our Journal of the Month winner!
JOURNAL_WINNER <- names(head(JOURNALS_TABLE,1))
JOURNAL_WINNER## [1] "Nature communications"Paper of the month winners
There are two categories:
Paper with the most suplementary files affected by gene name errors (MOST_ERR_FILES)
Paper with the most gene names converted to dates (MOST_ERR)
Sometimes, one paper can win both categories. Congrats to our winners.
Paper with most files affected
MOST_ERR_FILES <- gsub("PMC","",MOST_ERR_FILES)
ARTICLES <- esummary( MOST_ERR_FILES , db="pmc" , retmode = "json" )
ARTICLE_DATA <- reutils::content(ARTICLES,as= "parsed")
ARTICLE_DATA <- ARTICLE_DATA[2]
ARTICLE_DATA## $result
## $result$uids
## [1] "13179391"
##
## $result$`13179391`
## $result$`13179391`$uid
## [1] "13179391"
##
## $result$`13179391`$pubdate
## [1] "2026 May"
##
## $result$`13179391`$epubdate
## [1] "2026 Mar 25"
##
## $result$`13179391`$printpubdate
## [1] "2026 May"
##
## $result$`13179391`$source
## [1] "EMBO Mol Med"
##
## $result$`13179391`$authors
## name authtype
## 1 Lier S Author
## 2 Markusson SB Author
## 3 Kocijancic A Author
## 4 Narum M Author
## 5 Lund SO Author
## 6 Böllering B Author
## 7 Lipsa A Author
## 8 Søegaard MLC Author
## 9 Rein ID Author
## 10 Santha P Author
## 11 Jain P Author
## 12 LÃ¥ng A Author
## 13 LÃ¥ng E Author
## 14 Meyer N Author
## 15 Dutta A Author
## 16 Anand S Author
## 17 Badugu SB Author
## 18 Nesse GJ Author
## 19 Forstrøm RJ Author
## 20 Klungland A Author
## 21 Anand A Author
## 22 Pollard SM Author
## 23 Bøe SO Author
## 24 Rinholm JE Author
## 25 Frauenknecht KBM Author
## 26 Golebiewska A Author
## 27 Niclou SP Author
## 28 Somyajit K Author
## 29 Lerdrup M Author
## 30 Pandey DP Author
##
## $result$`13179391`$title
## [1] "CDK12/CDK13 inhibition disrupts transcriptional elongation and replication fork progression in glioblastoma."
##
## $result$`13179391`$volume
## [1] "18"
##
## $result$`13179391`$issue
## [1] "5"
##
## $result$`13179391`$pages
## [1] "1592-1624"
##
## $result$`13179391`$articleids
## idtype value
## 1 pmid 41882177
## 2 pmcid PMC13179391
## 3 doi 10.1038/s44321-026-00393-w
## 4 pii 10.1038/s44321-026-00393-w
##
## $result$`13179391`$fulljournalname
## [1] "EMBO molecular medicine"
##
## $result$`13179391`$sortdate
## [1] "2026/05/01 00:00"
##
## $result$`13179391`$pmclivedate
## [1] "2026/05/17"Paper with most date conversions
MOST_ERR <- gsub("PMC","",MOST_ERR)
ARTICLE_DATA <- esummary(MOST_ERR,db = "pmc" , retmode = "json" )
ARTICLE_DATA <- reutils::content(ARTICLE_DATA,as= "parsed")
ARTICLE_DATA## $header
## $header$type
## [1] "esummary"
##
## $header$version
## [1] "0.3"
##
##
## $result
## $result$uids
## [1] "13163791"
##
## $result$`13163791`
## $result$`13163791`$uid
## [1] "13163791"
##
## $result$`13163791`$pubdate
## [1] "2026 Apr 28"
##
## $result$`13163791`$epubdate
## [1] "2026 Apr 28"
##
## $result$`13163791`$printpubdate
## [1] ""
##
## $result$`13163791`$source
## [1] "Int J Mol Sci"
##
## $result$`13163791`$authors
## name authtype
## 1 Li Y Author
## 2 Yao Y Author
## 3 Xu Z Author
## 4 Xiong Y Author
## 5 Zhang C Author
## 6 Yu L Author
## 7 Gao H Author
## 8 Fei T Author
##
## $result$`13163791`$title
## [1] "Genome-Wide CRISPR Screening Identifies Genetic Modulators of Amyloid Precursor Protein Processing."
##
## $result$`13163791`$volume
## [1] "27"
##
## $result$`13163791`$issue
## [1] "9"
##
## $result$`13163791`$pages
## [1] ""
##
## $result$`13163791`$articleids
## idtype value
## 1 pmid 42123509
## 2 pmcid PMC13163791
## 3 doi 10.3390/ijms27093926
## 4 pii ijms27093926
##
## $result$`13163791`$fulljournalname
## [1] "International journal of molecular sciences"
##
## $result$`13163791`$sortdate
## [1] "2026/04/28 00:00"
##
## $result$`13163791`$pmclivedate
## [1] "2026/05/13"Trend info
TODO: To plot the trend over the past 6 months.
References
Zeeberg, B.R., Riss, J., Kane, D.W. et al. Mistaken Identifiers: Gene name errors can be introduced inadvertently when using Excel in bioinformatics. BMC Bioinformatics 5, 80 (2004). https://doi.org/10.1186/1471-2105-5-80
Ziemann, M., Eren, Y. & El-Osta, A. Gene name errors are widespread in the scientific literature. Genome Biol 17, 177 (2016). https://doi.org/10.1186/s13059-016-1044-7
SessionInfo
sessionInfo()## R version 4.6.1 (2026-06-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.4 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
##
## locale:
## [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8
## [5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8
## [7] LC_PAPER=en_AU.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C
##
## time zone: Australia/Melbourne
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] readxl_1.5.0 reutils_0.2.3 xml2_1.5.2 jsonlite_2.0.0
##
## loaded via a namespace (and not attached):
## [1] assertthat_0.2.1 digest_0.6.39 XML_3.99-0.23 R6_2.6.1
## [5] fastmap_1.2.0 cellranger_1.1.0 xfun_0.57 cachem_1.1.0
## [9] knitr_1.51 RCurl_1.98-1.18 htmltools_0.5.9 rmarkdown_2.31
## [13] lifecycle_1.0.5 bitops_1.0-9 cli_3.6.6 sass_0.4.10
## [17] jquerylib_0.1.4 compiler_4.6.1 tools_4.6.1 evaluate_1.0.5
## [21] bslib_0.11.0 yaml_2.3.12 otel_0.2.0 rlang_1.2.0