Gene Name Error Monthly Dashboard
Mark Ziemann
2022-05-03
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("XML")
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.
CURRENT_MONTH=format(Sys.time(), "%m")
CURRENT_YEAR=format(Sys.time(), "%Y")
if (CURRENT_MONTH == "01") {
PREV_YEAR=as.character(as.numeric(format(Sys.time(), "%Y"))-1)
PREV_MONTH="12"
} else {
PREV_YEAR=CURRENT_YEAR
PREV_MONTH=as.character(as.numeric(format(Sys.time(), "%m"))-1)
}
DATE=paste(PREV_YEAR,"/",PREV_MONTH,sep="")
DATE## [1] "2022/4"Let’s see how many PMC IDs we have in the past month.
QUERY ='((genom*[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 3500pmc <- read.table(pmc)
pmc <- paste("PMC",pmc$V1,sep="")
NUM_ARTICLES=length(pmc)
NUM_ARTICLES## [1] 3186writeLines(pmc,con="pmc.txt")Run the screen
Now run the bash script. 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] 4669NUM_XLS_ARTICLES = length(unique(sapply(strsplit(XLS," "),"[[",1)))
NUM_XLS_ARTICLES## [1] 797GENELISTS <- XLS[lapply(strsplit(XLS," "),length)>2]
#GENELISTS
NUM_GENELISTS <- length(unique(sapply(strsplit(GENELISTS," "),"[[",2)))
NUM_GENELISTS## [1] 535NUM_GENELIST_ARTICLES <- length(unique(sapply(strsplit(GENELISTS," "),"[[",1)))
NUM_GENELIST_ARTICLES## [1] 281ERROR_GENELISTS <- XLS[lapply(strsplit(XLS," "),length)>3]
#ERROR_GENELISTS
NUM_ERROR_GENELISTS = length(ERROR_GENELISTS)
NUM_ERROR_GENELISTS## [1] 177GENELIST_ERROR_ARTICLES <- unique(sapply(strsplit(ERROR_GENELISTS," "),"[[",1))
GENELIST_ERROR_ARTICLES## [1] "PMC9054133" "PMC9048645" "PMC9046089" "PMC9044973" "PMC9033829"
## [6] "PMC9018864" "PMC9005704" "PMC9040432" "PMC9040176" "PMC9039613"
## [11] "PMC9019898" "PMC9020135" "PMC8997352" "PMC8993692" "PMC9021508"
## [16] "PMC8967882" "PMC9014220" "PMC9013900" "PMC9013128" "PMC9012444"
## [21] "PMC9012227" "PMC9009263" "PMC9006883" "PMC9001881" "PMC9001847"
## [26] "PMC8996588" "PMC8996529" "PMC8995652" "PMC8995392" "PMC8994511"
## [31] "PMC8986790" "PMC8938418" "PMC8988336" "PMC8956509" "PMC8967908"
## [36] "PMC9053669" "PMC9049972" "PMC9046674" "PMC9043932" "PMC9044796"
## [41] "PMC9044176" "PMC9044075" "PMC9043291" "PMC9042912" "PMC9033827"
## [46] "PMC9033806" "PMC9023604" "PMC9019091" "PMC9001708" "PMC9001675"
## [51] "PMC9001657" "PMC8993893" "PMC9037270" "PMC9035054" "PMC9032419"
## [56] "PMC8980094" "PMC8980034" "PMC8977349" "PMC8956604" "PMC9017053"
## [61] "PMC9012019" "PMC9011028" "PMC9010788" "PMC9009261" "PMC9006574"
## [66] "PMC8989495" "PMC8996409" "PMC8938529" "PMC8988339" "PMC8987780"
## [71] "PMC8982855" "PMC8981716" "PMC8979589" "PMC8979493" "PMC8971981"
## [76] "PMC8931005"NUM_ERROR_GENELIST_ARTICLES <- length(GENELIST_ERROR_ARTICLES)
NUM_ERROR_GENELIST_ARTICLES## [1] 76ERROR_PROPORTION = NUM_ERROR_GENELIST_ARTICLES / NUM_GENELIST_ARTICLES
ERROR_PROPORTION## [1] 0.2704626Look 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] "PMC9054133 /pmc/articles/PMC9054133/bin/elife-71945-supp1.xlsx Hsapiens 6 44531 44257 44256 37316 37226 36951"
## [2] "PMC9054133 /pmc/articles/PMC9054133/bin/elife-71945-supp1.xlsx Ggallus 263 38961 39692 38412 38412 37865 37316 38961 38961 38961 39142 39142 39142 39142 40787 40787 40787 40787 40787 40787 40787 40787 40787 40787 39508 37500 37500 37500 37500 36951 40422 38412 37865 39326 38961 38961 38961 39142 40787 40787 40787 40787 39873 39873 38777 38777 38777 38777 39692 39692 39508 37500 37500 37500 37500 40057 40057 40057 40057 40057 38596 38596 38596 36951 36951 36951 36951 38412 39326 39326 39326 39326 37865 37865 37865 37865 37865 37316 37316 38961 38961 38961 38961 38961 38961 38961 38961 38961 38961 39142 40787 40787 40787 40787 38777 38777 38777 38777 38777 38777 38777 38777 38777 38777 38777 38777 38777 38777 39692 39692 39508 39508 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 40057 40057 40057 40057 40057 40057 40057 40057 36951 36951 40422 40422 40422 40422 38412 39326 39326 39326 39326 38961 38961 38961 38961 38961 38961 38961 38961 38961 38961 38961 38961 39142 39142 39142 40787 40787 40787 40787 40787 40787 40787 40787 39873 39873 39873 39873 39873 39873 39873 38777 38777 38777 38777 38777 38777 38777 38777 38777 38777 39692 39692 39692 39692 39692 39692 39692 37500 37500 37500 37500 37500 37500 37500 37500 37500 40057 40057 40057 40057 40422 40422 40422 38412 38412 38412 38412 38412 39326 40787 38777 38777 39692 39692 39692 39692 39692 39692 37500 40057 38596 38596 38596 36951 36951 39508 39508 38412 38412 39873 39873 40057 40057 40057 40057 40422 40422 40422 37500 37500 39142 39142 37865 40787 40787 40787 40787 40787 40787 39692 38777 38777 38777 38777 39326 39326 41883 41883 38961"
## [3] "PMC9054133 /pmc/articles/PMC9054133/bin/elife-71945-supp1.xlsx Hsapiens 165 37500 38412 38412 39326 38961 38961 38961 38961 39142 39142 39142 40787 40787 40787 38777 38777 38777 38777 38777 38777 38777 38777 38777 37500 37500 37500 37500 38412 38412 39326 39326 38961 38961 38961 39142 40787 40787 40787 38777 38777 38777 38777 38777 38777 38777 38777 39692 37500 37500 37500 37500 40057 40057 40057 40057 40057 40057 36951 38412 38412 39326 39142 39142 39142 40787 40787 38777 38777 38777 38777 38777 38777 38777 38777 38777 39692 39692 39692 39692 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 39326 39326 39326 39326 38961 38961 39142 39142 40787 40787 38777 38777 39692 39692 39692 37500 37500 37500 37500 37500 37500 37500 37500 37500 40057 40057 38412 38412 38412 39326 40787 38777 38777 38777 38777 39692 39692 39692 39692 40057 36951 38412 40057 40057 40057 40057 40057 40422 40422 40422 37500 37500 37500 39142 39142 40787 40787 40787 39692 38777 38777 38777 38777 38777 38777 38777 39326 39326 39326 39326 39326 39326 39326 38961 38961 38961"
## [4] "PMC9054133 /pmc/articles/PMC9054133/bin/elife-71945-supp2.xlsx Hsapiens 2 44257 44256"
## [5] "PMC9048645 /pmc/articles/PMC9048645/bin/peerj-10-13135-s002.xlsx Hsapiens 1 43525"
## [6] "PMC9048645 /pmc/articles/PMC9048645/bin/peerj-10-13135-s002.xlsx Hsapiens 10 43525 43723 43531 43530 43529 43532 43533 43534 43527 43526"
## [7] "PMC9048645 /pmc/articles/PMC9048645/bin/peerj-10-13135-s002.xlsx Hsapiens 1 43525"
## [8] "PMC9048645 /pmc/articles/PMC9048645/bin/peerj-10-13135-s006.xls Hsapiens 1 2019/03/07"
## [9] "PMC9046089 /pmc/articles/PMC9046089/bin/41586_2022_4638_MOESM22_ESM.xlsx Hsapiens 26 05-Sep 04-Sep 03-Sep 04-Mar 02-Sep 01-Mar 14-Sep 05-Mar 09-Sep 10-Mar 08-Sep 09-Mar 01-Sep 03-Mar 07-Mar 10-Sep 11-Mar 12-Sep 06-Mar 02-Mar 08-Mar 06-Sep 11-Sep 15-Sep 01-Dec 07-Sep"
## [10] "PMC9046089 /pmc/articles/PMC9046089/bin/41586_2022_4638_MOESM3_ESM.xlsx Hsapiens 109 05-Mar 01-Dec 10-Sep 04-Mar 03-Mar 10-Mar 01-Mar 11-Mar 02-Sep 15-Sep 12-Sep 01-Sep 15-Sep 06-Mar 03-Sep 02-Mar 11-Sep 01-Sep 10-Sep 06-Sep 01-Dec 08-Sep 05-Sep 14-Sep 01-Mar 04-Sep 06-Mar 09-Mar 04-Mar 11-Sep 02-Sep 06-Mar 02-Mar 01-Mar 04-Mar 09-Mar 12-Sep 07-Sep 15-Sep 01-Sep 04-Mar 14-Sep 05-Mar 10-Sep 05-Mar 03-Sep 02-Mar 03-Sep 06-Mar 08-Sep 03-Mar 04-Sep 01-Sep 03-Mar 07-Mar 10-Mar 11-Sep 04-Sep 02-Sep 15-Sep 05-Sep 03-Mar 11-Mar 07-Mar 08-Sep 02-Mar 09-Sep 09-Sep 04-Sep 05-Mar 10-Mar 08-Mar 09-Sep 10-Sep 08-Mar 02-Sep 09-Mar 14-Sep 11-Sep 11-Mar 02-Mar 05-Sep 09-Mar 06-Sep 06-Sep 08-Sep 01-Dec 12-Sep 01-Dec 11-Mar 02-Mar 02-Mar 07-Mar 09-Sep 07-Mar 05-Sep 01-Mar 12-Sep 14-Sep 03-Sep 01-Mar 10-Mar 02-Mar 08-Mar 01-Mar 01-Mar 06-Sep 01-Mar 08-Mar"
## [11] "PMC9044973 /pmc/articles/PMC9044973/bin/msphere.00765-21-st001.xlsx Scerevisiae 2 44470 44340"
## [12] "PMC9033829 /pmc/articles/PMC9033829/bin/41467_2022_29650_MOESM6_ESM.xlsx Hsapiens 2 36951 37500"
## [13] "PMC9018864 /pmc/articles/PMC9018864/bin/41467_2022_29517_MOESM7_ESM.xlsx Hsapiens 28 37226 36951 37316 36951 40238 40603 37316 37681 38047 38412 38777 39142 39508 39873 42248 37135 40422 40787 41153 41883 37500 37865 38231 38596 38961 39326 39692 40057"
## [14] "PMC9018864 /pmc/articles/PMC9018864/bin/41467_2022_29517_MOESM9_ESM.xlsx Hsapiens 3 44442 44444 44261"
## [15] "PMC9005704 /pmc/articles/PMC9005704/bin/41467_2022_29518_MOESM15_ESM.xlsx Dmelanogaster 3 17-jun 17-jun 17-jun"
## [16] "PMC9040432 /pmc/articles/PMC9040432/bin/mmc3.xlsx Hsapiens 1 44441"
## [17] "PMC9040432 /pmc/articles/PMC9040432/bin/mmc3.xlsx Hsapiens 1 44441"
## [18] "PMC9040432 /pmc/articles/PMC9040432/bin/mmc4.xlsx Hsapiens 1 37500"
## [19] "PMC9040432 /pmc/articles/PMC9040432/bin/mmc4.xlsx Hsapiens 1 37500"
## [20] "PMC9040176 /pmc/articles/PMC9040176/bin/mmc5.xlsx Hsapiens 14 43894 43900 44086 44166 44076 44166 43891 43893 44076 43893 44082 44085 44075 43894"
## [21] "PMC9039613 /pmc/articles/PMC9039613/bin/Table_1.xlsx Hsapiens 1 44447"
## [22] "PMC9039613 /pmc/articles/PMC9039613/bin/Table_1.xlsx Hsapiens 1 44447"
## [23] "PMC9019898 /pmc/articles/PMC9019898/bin/MOL2-16-1746-s004.xlsx Hsapiens 1 44263"
## [24] "PMC9020135 /pmc/articles/PMC9020135/bin/mmc1.xlsx Hsapiens 38 40057 40057 40057 40057 40057 40057 40057 40057 38231 39326 39326 39326 39326 37500 37500 37500 37500 37500 37500 37500 37500 37500 37500 42248 37681 40057 40057 40057 39873 39873 38596 39326 39326 39326 39326 39326 38596 38777"
## [25] "PMC9020135 /pmc/articles/PMC9020135/bin/mmc3.xlsx Hsapiens 3 39326 38596 39326"
## [26] "PMC8997352 /pmc/articles/PMC8997352/bin/supp_gr.275515.121_Supplemental_Table_S3.xlsx Hsapiens 3 37012 38108 37226"
## [27] "PMC8997352 /pmc/articles/PMC8997352/bin/supp_gr.275515.121_Supplemental_Table_S3.xlsx Hsapiens 3 37012 38108 37226"
## [28] "PMC8997352 /pmc/articles/PMC8997352/bin/supp_gr.275515.121_Supplemental_Table_S3.xlsx Hsapiens 3 37012 38108 37226"
## [29] "PMC8997352 /pmc/articles/PMC8997352/bin/supp_gr.275515.121_Supplemental_Table_S3.xlsx Hsapiens 3 37012 38108 37226"
## [30] "PMC8997352 /pmc/articles/PMC8997352/bin/supp_gr.275515.121_Supplemental_Table_S5.xlsx Hsapiens 1 36951"
## [31] "PMC8993692 /pmc/articles/PMC8993692/bin/41388_2022_2238_MOESM4_ESM.xlsx Hsapiens 8 43528 43719 43527 43716 43532 43529 43712 43711"
## [32] "PMC9021508 /pmc/articles/PMC9021508/bin/Data_Sheet_1.XLSX Mmusculus 27 44807 44808 44624 44816 44806 44815 66598 44621 44805 44630 44622 44811 44631 44623 44809 44628 44621 44812 44814 44625 44813 44622 44810 44818 44626 44627 44629"
## [33] "PMC8967882 /pmc/articles/PMC8967882/bin/42003_2022_3231_MOESM5_ESM.xlsx Hsapiens 74 44806 44806 44622 44622 44622 44806 44819 44622 44819 44807 44622 44622 44622 44819 44622 44813 44622 44819 44622 44622 44622 44819 44819 44819 44806 44630 44806 44625 44815 44808 44819 44814 44806 44814 44622 44630 44815 44628 44806 44805 44806 44628 44621 44815 44628 44806 44622 44815 44815 44814 44621 44628 44816 44816 44816 44621 44806 44816 44622 44816 44813 44628 44816 44816 44816 44628 44624 44628 44816 44813 44816 44816 44806 44816"
## [34] "PMC9014220 /pmc/articles/PMC9014220/bin/Table_6.XLSX Mmusculus 1 43893"
## [35] "PMC9014220 /pmc/articles/PMC9014220/bin/Table_7.XLSX Mmusculus 1 8-Mar"
## [36] "PMC9013900 /pmc/articles/PMC9013900/bin/Table_1.xls Mmusculus 8 2021/03/01 2021/03/07 2021/03/06 2021/03/09 2021/03/02 2021/03/03 2021/03/05 2021/03/08"
## [37] "PMC9013900 /pmc/articles/PMC9013900/bin/Table_2.xls Mmusculus 8 2021/03/01 2021/03/09 2021/03/02 2021/03/08 2021/03/07 2021/03/06 2021/03/03 2021/03/05"
## [38] "PMC9013128 /pmc/articles/PMC9013128/bin/NIHMS1795992-supplement-4.xlsx Hsapiens 21 44257 44258 44256 44445 44257 44450 44261 44259 44260 44454 44444 44256 44264 44262 44447 44441 44446 44448 44263 44442 44449"
## [39] "PMC9013128 /pmc/articles/PMC9013128/bin/NIHMS1795992-supplement-4.xlsx Hsapiens 23 44449 44257 44444 44258 44264 44450 44256 44265 44454 44262 44263 44257 44260 44447 44443 44440 44446 44445 44441 44442 44448 44261 44256"
## [40] "PMC9013128 /pmc/articles/PMC9013128/bin/NIHMS1795992-supplement-4.xlsx Hsapiens 2 44257 44258"
## [41] "PMC9013128 /pmc/articles/PMC9013128/bin/NIHMS1795992-supplement-6.xlsx Hsapiens 22 44445 44443 44259 44264 44444 44258 44442 44447 44257 44449 44446 44448 44454 44265 44441 44440 44262 44450 44263 44256 44261 44260"
## [42] "PMC9013128 /pmc/articles/PMC9013128/bin/NIHMS1795992-supplement-6.xlsx Hsapiens 1 44259"
## [43] "PMC9013128 /pmc/articles/PMC9013128/bin/NIHMS1795992-supplement-6.xlsx Hsapiens 3 44445 44443 44264"
## [44] "PMC9012444 /pmc/articles/PMC9012444/bin/Table_1.xlsx Hsapiens 4 44449 44261 44260 44440"
## [45] "PMC9012227 /pmc/articles/PMC9012227/bin/Table_2.xlsx Hsapiens 4 44443 44257 44449 44442"
## [46] "PMC9009263 /pmc/articles/PMC9009263/bin/Table_2.XLS Drerio 7 2022/03/07 2022/03/07 2022/03/03 2022/03/02 2022/03/09 2022/09/03 2022/03/05"
## [47] "PMC9006883 /pmc/articles/PMC9006883/bin/DataSheet_1.xlsx Hsapiens 30 44444 44448 44445 44260 44446 44450 44447 44441 44261 44449 44256 44440 44443 44257 43348 43344 43352 43349 43350 43351 43345 43346 43354 43353 43164 43165 43347 43358 43160 43161"
## [48] "PMC9001881 /pmc/articles/PMC9001881/bin/DataSheet1.xlsx Hsapiens 2 44257 44262"
## [49] "PMC9001881 /pmc/articles/PMC9001881/bin/DataSheet1.xlsx Hsapiens 1 44262"
## [50] "PMC9001881 /pmc/articles/PMC9001881/bin/DataSheet1.xlsx Hsapiens 3 44440 44449 44264"
## [51] "PMC9001881 /pmc/articles/PMC9001881/bin/DataSheet1.xlsx Hsapiens 6 44441 44263 44447 44444 44442 44443"
## [52] "PMC9001881 /pmc/articles/PMC9001881/bin/DataSheet1.xlsx Hsapiens 4 44441 44448 44258 44263"
## [53] "PMC9001847 /pmc/articles/PMC9001847/bin/Table1.XLS Hsapiens 22 44265 44263 44442 44441 44454 44257 44444 44450 44445 44447 44531 44443 44264 44449 44260 44446 44453 44258 44259 44261 44262 44266"
## [54] "PMC8996588 /pmc/articles/PMC8996588/bin/13148_2022_1266_MOESM2_ESM.xlsx Hsapiens 1 43720"
## [55] "PMC8996588 /pmc/articles/PMC8996588/bin/13148_2022_1266_MOESM2_ESM.xlsx Hsapiens 1 44451"
## [56] "PMC8996529 /pmc/articles/PMC8996529/bin/12915_2022_1273_MOESM3_ESM.xlsx Athaliana 1 ATOCT3|3-Oct"
## [57] "PMC8995652 /pmc/articles/PMC8995652/bin/Table_12.XLSX Hsapiens 5 44807 44810 44896 44631 44624"
## [58] "PMC8995652 /pmc/articles/PMC8995652/bin/Table_13.XLSX Hsapiens 2 44631 44807"
## [59] "PMC8995652 /pmc/articles/PMC8995652/bin/Table_1.XLSX Hsapiens 5 44442 44259 44261 44447 44266"
## [60] "PMC8995392 /pmc/articles/PMC8995392/bin/NIHMS1791868-supplement-6.xlsx Mmusculus 17 40787 37500 37316 37865 38412 40057 39692 39142 37316 38777 40422 37681 38961 38596 38047 38231 36951"
## [61] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-2.xlsx Hsapiens 5 44264 44265 44440 44448 44444"
## [62] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-2.xlsx Hsapiens 6 5-Sep 2-Mar 2-Mar 9-Sep 1-Sep 9-Mar"
## [63] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-5.xlsx Hsapiens 9 43527 43526 43525 43533 43526 43531 43525 43529 43530"
## [64] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-5.xlsx Hsapiens 9 43527 43526 43525 43533 43526 43531 43525 43529 43530"
## [65] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-5.xlsx Hsapiens 10 43532 43527 43526 43525 43533 43526 43531 43525 43529 43530"
## [66] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-7.xlsx Hsapiens 6 5-Sep 2-Mar 2-Mar 9-Sep 1-Sep 9-Mar"
## [67] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-7.xlsx Ggallus 2 43525 43527"
## [68] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-7.xlsx Hsapiens 1 43525"
## [69] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-7.xlsx Hsapiens 1 43723"
## [70] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-7.xlsx Hsapiens 1 43525"
## [71] "PMC8994511 /pmc/articles/PMC8994511/bin/NIHMS1780714-supplement-7.xlsx Hsapiens 1 43527"
## [72] "PMC8986790 /pmc/articles/PMC8986790/bin/41598_2022_9798_MOESM4_ESM.xlsx Hsapiens 3 44256 44257 44257"
## [73] "PMC8938418 /pmc/articles/PMC8938418/bin/41467_2022_29228_MOESM4_ESM.xlsx Scerevisiae 1 44470"
## [74] "PMC8988336 /pmc/articles/PMC8988336/bin/12870_2022_3573_MOESM2_ESM.xlsx Athaliana 2 43709 43710"
## [75] "PMC8956509 /pmc/articles/PMC8956509/bin/41388_2022_2221_MOESM3_ESM.xlsx Hsapiens 5 43345 43345 43354 43354 43354"
## [76] "PMC8956509 /pmc/articles/PMC8956509/bin/41388_2022_2221_MOESM3_ESM.xlsx Hsapiens 5 43166 43165 43168 43347 43349"
## [77] "PMC8956509 /pmc/articles/PMC8956509/bin/41388_2022_2221_MOESM3_ESM.xlsx Hsapiens 2 43166 43166"
## [78] "PMC8956509 /pmc/articles/PMC8956509/bin/41388_2022_2221_MOESM3_ESM.xlsx Hsapiens 1 43346"
## [79] "PMC8967908 /pmc/articles/PMC8967908/bin/41598_2022_9458_MOESM3_ESM.xlsx Hsapiens 28 43358 43161 43160 43167 43164 43168 43355 43344 43347 43169 43352 43161 43353 43166 43163 43345 43348 43346 43354 43160 43165 43170 43162 43351 43350 43357 43435 43349"
## [80] "PMC8967908 /pmc/articles/PMC8967908/bin/41598_2022_9458_MOESM4_ESM.xlsx Hsapiens 1 43349"
## [81] "PMC8967908 /pmc/articles/PMC8967908/bin/41598_2022_9458_MOESM4_ESM.xlsx Hsapiens 2 43345 43344"
## [82] "PMC9053669 /pmc/articles/PMC9053669/bin/DataSheet2.xlsx Hsapiens 16 44257 44442 44446 44445 44262 44450 44264 44261 44447 44263 44441 44258 44448 44444 44256 44449"
## [83] "PMC9049972 /pmc/articles/PMC9049972/bin/elife-75244-supp12.xlsx Mmusculus 14 44815 44815 44815 44815 44815 44806 44806 44621 44621 44621 44621 44621 44621 44621"
## [84] "PMC9046674 /pmc/articles/PMC9046674/bin/Table_6.XLSX Hsapiens 1 44447"
## [85] "PMC9043932 /pmc/articles/PMC9043932/bin/advancesADV2021006152-suppl2.xlsx Hsapiens 24 44454 44441 44262 44260 44445 44446 44444 44451 44450 44259 44443 44449 44258 44447 44265 44261 44442 44263 44264 44257 44531 44448 44453 44266"
## [86] "PMC9043932 /pmc/articles/PMC9043932/bin/advancesADV2021006152-suppl3.xlsx Hsapiens 144 44443 44453 44261 44443 44442 44265 44448 44454 44441 44257 44262 44257 44262 44454 44257 44454 44266 44454 44444 44448 44259 44450 44447 44449 44454 44449 44266 44451 44449 44262 44261 44258 44441 44441 44446 44445 44262 44447 44259 44450 44265 44445 44451 44443 44454 44264 44258 44443 44442 44445 44446 44260 44259 44444 44443 44445 44266 44450 44445 44258 44260 44451 44265 44263 44446 44261 44264 44450 44446 44260 44259 44454 44447 44260 44257 44531 44449 44448 44261 44265 44263 44264 44454 44451 44531 44266 44531 44454 44447 44257 44531 44449 44258 44265 44263 44262 44444 44448 44264 44261 44444 44449 44531 44265 44531 44444 44442 44441 44442 44258 44441 44262 44447 44448 44451 44450 44446 44445 44447 44258 44442 44441 44451 44450 44260 44259 44266 44453 44260 44263 44448 44444 44443 44261 44453 44264 44259 44263 44264 44257 44266 44446 44263 44442"
## [87] "PMC9043932 /pmc/articles/PMC9043932/bin/advancesADV2021006152-suppl4.xlsx Hsapiens 24 44260 44441 44266 44259 44447 44450 44531 44258 44451 44445 44444 44454 44443 44449 44263 44262 44446 44261 44265 44448 44257 44264 44442 44453"
## [88] "PMC9043932 /pmc/articles/PMC9043932/bin/advancesADV2021006152-suppl5.xlsx Hsapiens 144 44443 44446 44265 44441 44257 44443 44259 44454 44453 44262 44445 44263 44450 44441 44448 44443 44447 44449 44447 44442 44266 44454 44264 44263 44444 44444 44441 44450 44442 44259 44258 44261 44531 44531 44451 44449 44441 44261 44448 44444 44262 44266 44259 44260 44265 44264 44445 44260 44260 44531 44453 44258 44445 44444 44450 44257 44441 44454 44257 44531 44264 44263 44265 44453 44262 44443 44446 44451 44258 44258 44447 44261 44261 44447 44265 44454 44445 44451 44454 44258 44447 44451 44445 44443 44449 44450 44448 44454 44451 44449 44450 44257 44448 44266 44444 44260 44264 44448 44266 44454 44444 44259 44531 44447 44259 44258 44449 44442 44257 44445 44263 44454 44443 44261 44442 44454 44264 44266 44261 44446 44257 44451 44262 44264 44450 44441 44263 44262 44265 44448 44263 44442 44260 44259 44446 44442 44446 44446 44262 44531 44260 44265 44449 44266"
## [89] "PMC9044796 /pmc/articles/PMC9044796/bin/13048_2022_986_MOESM1_ESM.xlsx Hsapiens 1 44811"
## [90] "PMC9044796 /pmc/articles/PMC9044796/bin/13048_2022_986_MOESM1_ESM.xlsx Hsapiens 2 44622 44813"
## [91] "PMC9044796 /pmc/articles/PMC9044796/bin/13048_2022_986_MOESM1_ESM.xlsx Hsapiens 1 43899"
## [92] "PMC9044796 /pmc/articles/PMC9044796/bin/13048_2022_986_MOESM1_ESM.xlsx Hsapiens 1 43896"
## [93] "PMC9044796 /pmc/articles/PMC9044796/bin/13048_2022_986_MOESM4_ESM.xlsx Hsapiens 6 43891 44081 44076 44089 44085 43897"
## [94] "PMC9044796 /pmc/articles/PMC9044796/bin/13048_2022_986_MOESM4_ESM.xlsx Hsapiens 6 43891 44081 44076 44089 44085 43897"
## [95] "PMC9044176 /pmc/articles/PMC9044176/bin/mmc2.xlsx Hsapiens 1 44075"
## [96] "PMC9044075 /pmc/articles/PMC9044075/bin/Table1.XLSX Mmusculus 1 44807"
## [97] "PMC9044075 /pmc/articles/PMC9044075/bin/Table3.XLSX Rnorvegicus 21 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807 44807"
## [98] "PMC9043291 /pmc/articles/PMC9043291/bin/Table2.XLSX Hsapiens 1 44628"
## [99] "PMC9042912 /pmc/articles/PMC9042912/bin/41467_2022_29718_MOESM5_ESM.xlsx Mmusculus 1 44263"
## [100] "PMC9042912 /pmc/articles/PMC9042912/bin/41467_2022_29718_MOESM6_ESM.xlsx Mmusculus 8 44261 44448 44450 44446 44445 44258 44443 44441"
## [101] "PMC9042912 /pmc/articles/PMC9042912/bin/41467_2022_29718_MOESM6_ESM.xlsx Mmusculus 8 44257 44262 44256 44262 44265 44265 44444 44263"
## [102] "PMC9033827 /pmc/articles/PMC9033827/bin/41467_2022_29884_MOESM4_ESM.xlsx Hsapiens 13 44450 44448 44446 44441 44450 44447 44256 44265 44257 44260 44258 44454 44256"
## [103] "PMC9033827 /pmc/articles/PMC9033827/bin/41467_2022_29884_MOESM8_ESM.xlsx Hsapiens 2 44261 44262"
## [104] "PMC9033827 /pmc/articles/PMC9033827/bin/41467_2022_29884_MOESM8_ESM.xlsx Hsapiens 4 44261 44262 44260 44445"
## [105] "PMC9033827 /pmc/articles/PMC9033827/bin/41467_2022_29884_MOESM8_ESM.xlsx Hsapiens 3 44454 44441 44262"
## [106] "PMC9033827 /pmc/articles/PMC9033827/bin/41467_2022_29884_MOESM8_ESM.xlsx Hsapiens 26 44448 44256 44450 44454 44265 44258 44441 44447 44446 44260 44256 44450 44257 44449 44257 44440 44445 44531 44262 44263 44259 44453 44264 44451 44261 44266"
## [107] "PMC9033806 /pmc/articles/PMC9033806/bin/41419_2022_4844_MOESM4_ESM.xlsx Hsapiens 29 41153 40057 39142 40422 38047 39508 38412 39873 37135 41153 40238 40057 39142 39142 38047 38047 38596 37865 37865 38961 38961 36951 36951 36951 38777 40603 40603 40603 41883"
## [108] "PMC9033806 /pmc/articles/PMC9033806/bin/41419_2022_4844_MOESM4_ESM.xlsx Hsapiens 17 39142 36951 38047 40603 37865 38961 40057 41153 38412 38777 39508 39873 40238 37135 38596 40422 41883"
## [109] "PMC9023604 /pmc/articles/PMC9023604/bin/41467_2022_29857_MOESM5_ESM.xlsx Hsapiens 4 44444 44445 44531 44266"
## [110] "PMC9023604 /pmc/articles/PMC9023604/bin/41467_2022_29857_MOESM5_ESM.xlsx Ggallus 598 43891 43891 43891 43896 43901 44080 43891 43891 43891 43891 43891 43891 43891 43896 43901 43901 43900 44083 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 43893 43892 44076 43891 43891 43891 43893 44166 44084 43891 43891 43893 44166 43895 43900 44083 43892 43897 43894 43891 43891 43901 43901 43893 44088 44166 44083 43891 43897 43891 43891 43891 43891 43891 43891 43893 43893 43898 43900 43891 43891 43891 43901 44083 43891 43891 43891 43891 43891 43891 43901 44082 43891 43891 43891 43891 43891 43891 44166 43891 43891 43891 43891 43891 43893 43895 44076 43891 43891 43891 43891 43896 43900 43897 43897 43894 43894 43891 43891 43891 43891 43891 43891 44088 43895 43894 43894 43891 43891 43891 43891 43891 43891 44081 43891 43891 43891 43891 43891 43891 43895 43897 43891 43891 43891 43891 43891 43891 43891 43893 44083 43894 43891 44166 43900 43894 43891 43891 43891 43891 43891 44088 43892 43894 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 44083 44080 43892 43891 43891 43891 43891 43893 44166 43895 44076 44085 43891 43891 43891 43891 43891 43891 43891 43896 43901 44081 44081 43895 44083 43894 43891 43891 43891 43891 44081 43898 43891 43891 43891 43891 43891 43901 43901 43900 43891 43891 43891 43891 43891 43893 44088 44166 43895 43897 43894 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 43893 43899 44083 43891 43891 43891 43891 43891 44083 43891 43891 43891 43891 43891 43891 44081 44088 43900 43900 44076 43891 43891 43891 43901 44166 43900 43892 43891 43891 43891 43891 43891 43891 43891 43891 43896 43901 44080 43891 43891 43891 43891 43891 43891 43891 43891 43891 43893 44083 43892 44080 44080 43897 43896 43901 43893 43898 43898 43891 43891 43891 43891 43891 44166 44083 44083 43894 44076 43891 43891 43891 43898 44083 43891 43891 43891 43891 43901 43893 44166 44083 43891 43891 43891 43901 43901 44088 44086 44083 43891 43891 43891 43891 43891 44166 43894 43891 43891 43891 44088 44084 43891 43891 43891 43891 44088 44083 43891 43891 43891 43891 43891 43891 43901 43901 44082 44083 43897 43891 43891 43891 43891 44082 44082 44081 44081 44088 44166 43898 44083 44084 44084 43894 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 44088 44083 44083 44083 44085 43891 43891 43891 43893 44166 44086 44080 43891 43891 43891 43891 44081 43894 43894 43894 43891 43891 43891 43891 43891 44166 43898 44083 44083 44080 43892 43892 43891 43891 43891 43891 43891 43891 43901 44166 43898 44086 44079 44076 43891 43891 43891 43896 43901 43893 43893 44088 44083 43891 43891 43891 44166 44166 43897 43891 43891 43891 43891 43891 43891 43891 43891 43893 44081 44166 43900 43900 44080 44080 44080 43891 43891 43891 43901 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 44166 44166 43898 44083 43891 43891 43901 43898 43895 44083 43891 43891 43891 43891 43901 43891 43891 43891 43891 43891 43891 43891 43898 44083 43891 43891 43901 44081 43900 44083 43891 43891 43891 44083 43894 43891 43891 43891 44086 44086 44083 43891 43891 43891 43891 44166 44166 44166 43891 43891 43900 43894 43891 43891 43891 43891 43891 43891 43901 43901 43901 44088 44088 44166 43898 44083 43894 43894 43894 43891 43891 43893 44083 43897 43894 43901 43891 43891 43898 44077 44084 43891 43891 43891 43901 43893 43894 43891 44166 44083 43891 43896 44166 43892 43894 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 44166 44166 44166 43898 43891 43891 43891 43891 43891 43893 44166"
## [111] "PMC9023604 /pmc/articles/PMC9023604/bin/41467_2022_29857_MOESM5_ESM.xlsx Hsapiens 594 44531 44256 44256 44256 44256 44256 44256 44261 44266 44445 44256 44256 44256 44256 44256 44256 44256 44261 44266 44266 44265 44448 44256 44256 44256 44256 44256 44256 44256 44256 44256 44266 44258 44257 44441 44256 44256 44256 44258 44531 44449 44256 44256 44258 44531 44260 44265 44448 44257 44262 44259 44256 44256 44266 44266 44258 44453 44531 44448 44256 44262 44256 44256 44256 44256 44256 44256 44258 44258 44263 44265 44256 44256 44256 44266 44448 44256 44256 44256 44256 44256 44256 44266 44447 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44258 44260 44441 44256 44256 44256 44256 44261 44265 44262 44262 44259 44259 44256 44256 44256 44256 44256 44453 44260 44259 44259 44256 44256 44256 44256 44256 44256 44446 44256 44256 44256 44256 44256 44256 44260 44262 44256 44256 44256 44256 44256 44256 44256 44258 44448 44259 44256 44531 44265 44259 44256 44256 44256 44256 44453 44257 44259 44256 44256 44256 44256 44256 44256 44256 44256 44256 44266 44448 44445 44257 44256 44256 44256 44256 44258 44531 44260 44441 44450 44256 44256 44256 44256 44256 44256 44256 44261 44266 44446 44446 44260 44448 44259 44256 44256 44256 44256 44446 44263 44256 44256 44256 44256 44256 44266 44266 44265 44256 44256 44256 44256 44256 44258 44453 44531 44260 44262 44259 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44266 44258 44264 44448 44256 44256 44256 44256 44256 44448 44256 44256 44256 44256 44256 44256 44446 44453 44265 44265 44441 44256 44256 44256 44266 44531 44265 44257 44256 44256 44256 44256 44256 44256 44256 44256 44261 44266 44445 44256 44256 44256 44256 44256 44256 44256 44256 44256 44258 44448 44257 44445 44445 44262 44261 44266 44258 44263 44263 44256 44256 44256 44256 44256 44531 44448 44448 44259 44441 44256 44256 44256 44263 44448 44256 44256 44256 44256 44266 44258 44531 44448 44256 44256 44256 44266 44266 44453 44451 44448 44256 44256 44256 44256 44531 44259 44256 44256 44256 44453 44449 44256 44256 44256 44256 44453 44448 44256 44256 44256 44256 44256 44256 44266 44266 44447 44448 44262 44256 44256 44256 44256 44447 44447 44446 44446 44453 44531 44263 44448 44449 44449 44259 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44266 44453 44448 44448 44448 44450 44256 44256 44256 44258 44531 44451 44445 44256 44256 44256 44256 44446 44259 44259 44259 44256 44256 44256 44256 44256 44531 44263 44448 44448 44445 44257 44257 44256 44256 44256 44256 44256 44256 44266 44531 44263 44451 44444 44441 44256 44256 44256 44261 44266 44258 44258 44453 44448 44256 44256 44256 44531 44262 44256 44256 44256 44256 44256 44256 44256 44256 44258 44446 44531 44265 44265 44445 44445 44445 44256 44256 44256 44266 44256 44256 44256 44256 44256 44256 44256 44256 44256 44531 44531 44263 44448 44256 44256 44266 44263 44260 44448 44256 44256 44256 44256 44266 44256 44256 44256 44256 44256 44256 44256 44263 44448 44256 44256 44266 44446 44265 44448 44256 44256 44256 44448 44259 44256 44256 44256 44451 44451 44448 44256 44256 44256 44256 44531 44531 44531 44256 44265 44259 44256 44256 44256 44256 44256 44256 44266 44266 44266 44453 44453 44531 44263 44448 44259 44259 44259 44256 44256 44258 44448 44262 44259 44266 44256 44256 44263 44442 44449 44256 44256 44256 44266 44258 44259 44256 44531 44448 44256 44261 44531 44257 44259 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44256 44266 44531 44531 44531 44263 44256 44256 44256 44256 44256 44258 44531"
## [112] "PMC9023604 /pmc/articles/PMC9023604/bin/41467_2022_29857_MOESM9_ESM.xlsx Ggallus 284 43891 43891 43891 43896 43901 44080 43891 43891 43891 43891 43891 43891 43891 43896 43901 43901 43900 44083 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 43893 43892 44076 43891 43891 43891 43893 44166 44084 43891 43891 43893 44166 43895 43900 44083 43892 43897 43894 43891 43891 43901 43901 43893 44088 44166 44083 43891 43897 43891 43891 43891 43891 43891 43891 43893 43893 43898 43900 43891 43891 43891 43901 44083 43891 43891 43891 43891 43891 43891 43901 44082 43891 43891 43891 43891 43891 43891 44166 43891 43891 43891 43891 43891 43893 43895 44076 43891 43891 43891 43891 43896 43900 43897 43897 43894 43894 43891 43891 43891 43891 43891 43891 44088 43895 43894 43894 43891 43891 43891 43891 43891 43891 44081 43891 43891 43891 43891 43891 43891 43895 43897 43891 43891 43891 43891 43891 43891 43891 43893 44083 43894 43891 44166 43900 43894 43891 43891 43891 43891 43891 44088 43892 43894 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 44083 44080 43892 43891 43891 43891 43891 43893 44166 43895 44076 44085 43891 43891 43891 43891 43891 43891 43891 43896 43901 44081 44081 43895 44083 43894 43891 43891 43891 43891 44081 43898 43891 43891 43891 43891 43891 43901 43901 43900 43891 43891 43891 43891 43891 43893 44088 44166 43895 43897 43894 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43891 43901 43893 43899 44083 43891 43891 43891 43891 43891 44083 43891 43891 43891 43891 43891 43891 44081 44088 43900 43900 44076 43891 43891 43891 43901 44166 43900 43892 43891 43891 43891 43891 43891 43891 43891 43891 43896 43901 44080 43891 43891 43891 43891 43891 43891 43891 43891 43891 43893 44083 43892 44080 44080"
## [113] "PMC9019091 /pmc/articles/PMC9019091/bin/41467_2022_29577_MOESM10_ESM.xlsx Hsapiens 16 44454 44450 44449 44448 44447 44446 44445 44444 44443 44441 44440 44260 44257 44257 44256 44256"
## [114] "PMC9019091 /pmc/articles/PMC9019091/bin/41467_2022_29577_MOESM6_ESM.xlsx Hsapiens 16 44454 44450 44449 44448 44447 44446 44445 44444 44443 44441 44440 44260 44257 44257 44256 44256"
## [115] "PMC9001708 /pmc/articles/PMC9001708/bin/41467_2022_29551_MOESM10_ESM.xlsx Drerio 1 44625"
## [116] "PMC9001708 /pmc/articles/PMC9001708/bin/41467_2022_29551_MOESM10_ESM.xlsx Drerio 1 44625"
## [117] "PMC9001675 /pmc/articles/PMC9001675/bin/41420_2022_1004_MOESM4_ESM.xls Hsapiens 27 2022/09/10 2022/09/02 2022/09/07 2022/03/04 2022/03/08 2022/03/07 2022/03/05 2022/09/08 2022/03/09 2022/03/01 2022/09/09 2022/09/11 2022/03/01 2022/03/06 2022/03/02 2022/09/06 2022/09/05 2022/09/01 2022/03/02 2022/09/03 2022/09/04 2022/09/14 2022/03/03 2022/09/12 2022/12/01 2022/03/10 2022/03/11"
## [118] "PMC9001675 /pmc/articles/PMC9001675/bin/41420_2022_1004_MOESM4_ESM.xls Hsapiens 31 2022/09/10 2022/09/02 2022/03/05 2022/09/14 2022/09/01 2022/03/02 2022/09/04 2022/09/14 2022/03/03 2022/09/14 2022/03/10 2022/09/14 2022/03/10 2022/09/04 2022/09/14 2022/09/14 2022/09/02 2022/09/14 2022/09/14 2022/09/14 2022/09/14 2022/09/14 2022/09/14 2022/09/14 2022/09/14 2022/09/10 2022/09/14 2022/09/14 2022/09/04 2022/09/14 2022/09/14"
## [119] "PMC9001657 /pmc/articles/PMC9001657/bin/41467_2022_29524_MOESM3_ESM.xlsx Mmusculus 71 40787 37500 37865 38961 41153 40787 37681 41883 38047 37135 41883 37316 40238 42248 37316 38047 39142 37681 40422 38961 39873 37681 37500 42248 38961 39873 38231 37135 39692 37865 41883 39873 38596 39142 38777 39508 38231 41153 39508 39692 41153 39692 39508 38231 40057 38596 40787 40057 40422 38777 37316 40238 38047 40603 42248 37865 39326 40238 37135 37500 40603 38596 39326 38412 38412 40422 40603 38412 38777 39142 39326"
## [120] "PMC8993893 /pmc/articles/PMC8993893/bin/41467_2022_29442_MOESM5_ESM.xlsx Hsapiens 144 37226 37226 37226 37316 37316 37316 40238 40238 40238 40603 40603 40603 37681 37681 37681 38047 38047 38047 38412 38412 38412 38777 38777 38777 39142 39142 39142 39508 39508 39508 39873 39873 39873 42248 42248 42248 42248 42248 42248 40422 40422 40422 40787 40787 40787 41153 41153 41153 37500 37500 37500 37865 37865 37865 38231 38231 38231 38596 38596 38596 38961 38961 38961 39326 39326 39326 39692 39692 39692 40057 40057 40057 37226 37226 37226 37316 37316 37316 40238 40238 40238 40603 40603 40603 37681 37681 37681 38047 38047 38047 38412 38412 38412 38777 38777 38777 39142 39142 39142 39508 39508 39508 39873 39873 39873 42248 42248 42248 40422 40422 40422 40787 40787 40787 41153 41153 41153 41883 41883 41883 37500 37500 37500 37865 37865 37865 38231 38231 38231 38596 38596 38596 38961 38961 38961 39326 39326 39326 39692 39692 39692 40057 40057 40057"
## [121] "PMC8993893 /pmc/articles/PMC8993893/bin/41467_2022_29442_MOESM6_ESM.xlsx Hsapiens 144 44896 44896 44896 44622 44622 44622 44630 44630 44630 44631 44631 44631 44623 44623 44623 44624 44624 44624 44625 44625 44625 44626 44626 44626 44627 44627 44627 44628 44628 44628 44629 44629 44629 44819 44819 44819 44819 44819 44819 44814 44814 44814 44815 44815 44815 44816 44816 44816 44806 44806 44806 44807 44807 44807 44808 44808 44808 44809 44809 44809 44810 44810 44810 44811 44811 44811 44812 44812 44812 44813 44813 44813 44896 44896 44896 44622 44622 44622 44630 44630 44630 44631 44631 44631 44623 44623 44623 44624 44624 44624 44625 44625 44625 44626 44626 44626 44627 44627 44627 44628 44628 44628 44629 44629 44629 44819 44819 44819 44814 44814 44814 44815 44815 44815 44816 44816 44816 44818 44818 44818 44806 44806 44806 44807 44807 44807 44808 44808 44808 44809 44809 44809 44810 44810 44810 44811 44811 44811 44812 44812 44812 44813 44813 44813"
## [122] "PMC9037270 /pmc/articles/PMC9037270/bin/aging-14-204010-s002.xlsx Hsapiens 1 44262"
## [123] "PMC9037270 /pmc/articles/PMC9037270/bin/aging-14-204010-s005.xlsx Hsapiens 1 44258"
## [124] "PMC9037270 /pmc/articles/PMC9037270/bin/aging-14-204010-s006.xlsx Hsapiens 1 44258"
## [125] "PMC9035054 /pmc/articles/PMC9035054/bin/NIHMS1768620-supplement-4.xlsx Hsapiens 2 44260 44261"
## [126] "PMC9032419 /pmc/articles/PMC9032419/bin/pgen.1010149.s004.xlsx Scerevisiae 2 37165 37165"
## [127] "PMC9032419 /pmc/articles/PMC9032419/bin/pgen.1010149.s004.xlsx Scerevisiae 1 37165"
## [128] "PMC9032419 /pmc/articles/PMC9032419/bin/pgen.1010149.s004.xlsx Scerevisiae 1 37165"
## [129] "PMC9032419 /pmc/articles/PMC9032419/bin/pgen.1010149.s004.xlsx Scerevisiae 1 37165"
## [130] "PMC8980094 /pmc/articles/PMC8980094/bin/41698_2022_257_MOESM2_ESM.xlsx Hsapiens 1 44447"
## [131] "PMC8980094 /pmc/articles/PMC8980094/bin/41698_2022_257_MOESM2_ESM.xlsx Hsapiens 1 44447"
## [132] "PMC8980094 /pmc/articles/PMC8980094/bin/41698_2022_257_MOESM6_ESM.xlsx Hsapiens 28 44085 43891 44081 44076 44083 44078 44166 44080 43895 44077 44075 44079 44086 43897 44082 43892 44084 44089 43896 43891 43898 43893 43894 43892 43900 43899 44088 43901"
## [133] "PMC8980034 /pmc/articles/PMC8980034/bin/42003_2022_3263_MOESM4_ESM.xlsx Hsapiens 8 44263 44256 44264 44262 44260 44261 44258 44257"
## [134] "PMC8977349 /pmc/articles/PMC8977349/bin/41392_2022_915_MOESM2_ESM.xlsx Hsapiens 28 44448 44442 44260 44256 44257 44454 44258 44531 44440 44445 44447 44263 44265 44264 44261 44259 44453 44256 44443 44266 44444 44450 44451 44262 44441 44449 44257 44446"
## [135] "PMC8956604 /pmc/articles/PMC8956604/bin/41467_2022_29205_MOESM10_ESM.xlsx Hsapiens 6 43892 43899 44084 44076 44081 44083"
## [136] "PMC8956604 /pmc/articles/PMC8956604/bin/41467_2022_29205_MOESM11_ESM.xlsx Hsapiens 6 43899 44084 43892 44076 44081 44083"
## [137] "PMC9017053 /pmc/articles/PMC9017053/bin/12859_2022_4652_MOESM1_ESM.xlsx Ggallus 337 43526 43526 43526 43526 43526 43526 43526 43526 43526 43711 43711 43711 43711 43711 43711 43711 43711 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43712 43526 43526 43526 43526 43526 43715 43715 43715 43715 43715 43715 43715 43715 43715 43715 43715 43715 43715 43714 43714 43714 43714 43714 43714 43714 43714 43714 43714 43714 43531 43531 43531 43531 43531 43531 43531 43531 43531 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43719 43533 43533 43533 43720 43720 43720 43720 43720 43720 43720 43720 43528 43525 43525 43525 43525 43525 43525 43525 43525 43525 43525 43525 43525 43525 43525 43525 43530 43530 43530 43530 43530 43530 43530 43530 43530 43530 43530 43530 43530 43530 43722 43722 43716 43716 43716 43716 43716 43716 43716 43716 43716 43716 43716 43716 43716 43716 43716 43532 43532 43532 43532 43532 43532 43532 43532 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43710 43800 43800 43800 43534 43534 43534 43534 43534 43534 43534 43534 43534 43534 43527 43527 43527 43527 43527 43709 43709 43709 43709 43709 43709 43709 43709 43709 43709 43709 43723 43723 43723 43723 43723 43723 43535 43535 43535 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43717 43713 43713 43713 43713 43713 43713 43713 43713 43713 43713 43713 43713 43713 43713 43713 43525 43525 43525 43525 43525 43525 43525 43718 43718 43718 43718 43718 43718 43718 43718 43718 43718 43718 43718 43718 43718 43718 43529 43529 43529 43529 43709"
## [138] "PMC9012019 /pmc/articles/PMC9012019/bin/12864_2022_8512_MOESM2_ESM.xlsx Ggallus 28 44079 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083 44083"
## [139] "PMC9011028 /pmc/articles/PMC9011028/bin/mmc3.xlsx Hsapiens 28 44622 44810 44808 44621 44815 44623 44811 44629 44631 44812 44819 44628 44621 44816 44630 44813 44624 44806 44814 44818 44809 44626 44805 44622 44807 44627 44625 44896"
## [140] "PMC9010788 /pmc/articles/PMC9010788/bin/Table2.XLSX Hsapiens 3 44447 44257 44450"
## [141] "PMC9010788 /pmc/articles/PMC9010788/bin/Table2.XLSX Hsapiens 3 44447 44257 44450"
## [142] "PMC9010788 /pmc/articles/PMC9010788/bin/Table2.XLSX Hsapiens 6 44258 44257 44265 44266 44263 44259"
## [143] "PMC9010788 /pmc/articles/PMC9010788/bin/Table2.XLSX Hsapiens 5 44258 44257 44265 44263 44266"
## [144] "PMC9009261 /pmc/articles/PMC9009261/bin/Table_1.xlsx Hsapiens 13 44450 44264 44454 44447 44445 44448 44257 44262 44258 44440 44443 44446 44449"
## [145] "PMC9006574 /pmc/articles/PMC9006574/bin/13058_2022_1524_MOESM2_ESM.xlsx Hsapiens 11 44441 44260 44451 44449 44256 44440 44266 44262 44263 44444 44257"
## [146] "PMC9006574 /pmc/articles/PMC9006574/bin/13058_2022_1524_MOESM2_ESM.xlsx Hsapiens 11 44449 44262 44257 44256 44263 44266 44260 44440 44444 44451 44441"
## [147] "PMC9006574 /pmc/articles/PMC9006574/bin/13058_2022_1524_MOESM2_ESM.xlsx Hsapiens 11 44441 44257 44440 44260 44451 44262 44256 44444 44449 44266 44263"
## [148] "PMC8989495 /pmc/articles/PMC8989495/bin/PBI-20-761-s002.xlsx Athaliana 2 44411 44470"
## [149] "PMC8989495 /pmc/articles/PMC8989495/bin/PBI-20-761-s002.xlsx Athaliana 3 44470 44470 44470"
## [150] "PMC8996409 /pmc/articles/PMC8996409/bin/13059_2022_2662_MOESM2_ESM.xlsx Hsapiens 1 36951"
## [151] "PMC8996409 /pmc/articles/PMC8996409/bin/13059_2022_2662_MOESM2_ESM.xlsx Hsapiens 1 37316"
## [152] "PMC8938529 /pmc/articles/PMC8938529/bin/41386_2021_1219_MOESM3_ESM.xlsx Mmusculus 1 43709"
## [153] "PMC8938529 /pmc/articles/PMC8938529/bin/41386_2021_1219_MOESM3_ESM.xlsx Mmusculus 1 43712"
## [154] "PMC8938529 /pmc/articles/PMC8938529/bin/41386_2021_1219_MOESM4_ESM.xlsx Mmusculus 2 44258 44448"
## [155] "PMC8988339 /pmc/articles/PMC8988339/bin/12864_2022_8506_MOESM4_ESM.xlsx Athaliana 2 44442 44440"
## [156] "PMC8988339 /pmc/articles/PMC8988339/bin/12864_2022_8506_MOESM4_ESM.xlsx Athaliana 2 44442 44440"
## [157] "PMC8988339 /pmc/articles/PMC8988339/bin/12864_2022_8506_MOESM4_ESM.xlsx Athaliana 2 44442 44440"
## [158] "PMC8987780 /pmc/articles/PMC8987780/bin/Table4.XLSX Hsapiens 30 44819 44622 44812 44627 44624 44621 44626 44631 44621 44623 44811 44818 44896 44628 44625 44815 44806 44813 44629 44816 44805 44808 44630 44814 44622 44809 44807 44810 44628 44813"
## [159] "PMC8982855 /pmc/articles/PMC8982855/bin/pgen.1010110.s023.xlsx Dmelanogaster 5 44809 44806 44808 44805 44896"
## [160] "PMC8982855 /pmc/articles/PMC8982855/bin/pgen.1010110.s024.xlsx Dmelanogaster 1 44441"
## [161] "PMC8982855 /pmc/articles/PMC8982855/bin/pgen.1010110.s028.xlsx Dmelanogaster 5 44440 44441 44443 44531 44444"
## [162] "PMC8981716 /pmc/articles/PMC8981716/bin/13073_2022_1019_MOESM1_ESM.xlsx Hsapiens 8 2022/03/02 2022/03/03 2022/03/04 2022/03/05 2022/03/06 2022/03/07 2022/03/08 2022/03/09"
## [163] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1"
## [164] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 LTV1;MRP8;SDH3;TGL1;CTK1;HSK3;MRPL31;CMC1;YKL136W;APL2;1-Oct;RCI50;RMA1;YKL131W"
## [165] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1"
## [166] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1"
## [167] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1"
## [168] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 MRD1;PIS1;YPR114W;RGC1;RRG8;YPR117W;MRI1;CLB2;CLB5;THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3"
## [169] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1;HPA2;OPT2;YPR195C"
## [170] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 YKL147C;AVT3;RPT1;YKL145W-A;RPC25;LTV1;MRP8;SDH3;TGL1;CTK1;HSK3;MRPL31;CMC1;YKL136W;APL2;1-Oct;RCI50;RMA1;YKL131W;SHE2;MYO3;PMU1;PGM1;YPK1;RRN3;SSH4;YKL123W;SRP21;DGR2;OAC1;VPH2;YKL118W;SBA1;PRR1;YKL115C;APN1;RAD27;ABF1"
## [171] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23"
## [172] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1;HPA2;OPT2"
## [173] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp2.xlsx Scerevisiae 1 MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1;HPA2;OPT2;YPR195C"
## [174] "PMC8979589 /pmc/articles/PMC8979589/bin/elife-73983-supp3.xlsx Scerevisiae 11 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1 MRD1;PIS1;YPR114W;RGC1;RRG8;YPR117W;MRI1;CLB2;CLB5;THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1;HPA2;OPT2;YPR195C THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1;HPA2;OPT2 YKL147C;AVT3;RPT1;YKL145W-A;RPC25;LTV1;MRP8;SDH3;TGL1;CTK1;HSK3;MRPL31;CMC1;YKL136W;APL2;1-Oct;RCI50;RMA1;YKL131W;SHE2;MYO3;PMU1;PGM1;YPK1;RRN3;SSH4;YKL123W;SRP21;DGR2;OAC1;VPH2;YKL118W;SBA1;PRR1;YKL115C;APN1;RAD27;ABF1 THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23 MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1;HPA2;OPT2;YPR195C LTV1;MRP8;SDH3;TGL1;CTK1;HSK3;MRPL31;CMC1;YKL136W;APL2;1-Oct;RCI50;RMA1;YKL131W THI22;AXL1;YPR123C;CTR1;YLH47;YPR126C;YPR127W;ANT1;SCD6;YPR130C;NAT3;RPS23B;SPN1;TOM5;MSS18;CTF4;YPR136C;RRP9;MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1 MEP3;LOA1;TAZ1;KAR3;YPR142C;RRP15;NOC4;ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1 ASN1;YPR145C-A;YPR146C;YPR147C;YPR148C;NCE102;YPR150W;SUE1;URN1;24-May;PIN3;NCA2;TPO3;TDA6;CUR1;KRE6;YPR159C-A;GPH1;YPR160W-A;YPR160C-A;SGV1;ORC4;TIF3;MMS1;RHO1;MRP2;MET16;NUT2;JIP5;YPR170C;YPR169W-A;YPR170W-B;YPR170W-A;BSP1;YPR172W;VPS4;YPR174C;DPB2;BET2;YPR177C;PRP4;HDA3;AOS1;SEC23;SMX3;DPM1;GDB1;ATG13;PZF1;RPO26;MLC2;SKI3;RPC82;QCR2;AQY1"
## [175] "PMC8979493 /pmc/articles/PMC8979493/bin/NIHMS1779280-supplement-4.xlsx Hsapiens 1 44450"
## [176] "PMC8971981 /pmc/articles/PMC8971981/bin/Table_3.xls Mmusculus 19 43343 43349 43350 43352 43346 43345 43163 43166 43344 43165 43357 43164 43162 43167 43348 43353 43351 43160 43160"
## [177] "PMC8931005 /pmc/articles/PMC8931005/bin/41467_2022_28237_MOESM9_ESM.xlsx Hsapiens 27 38777 36951 40603 37226 40787 38412 37500 39692 38231 41153 39873 40057 39326 41883 41518 42248 40238 38961 37865 38047 39142 37135 38596 37316 37681 39508 40422"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 Drerio Ggallus Hsapiens
## 7 4 3 6 122
## Mmusculus Rnorvegicus Scerevisiae
## 16 1 18par(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##
## PMC8931005 PMC8938418 PMC8938529 PMC8956509 PMC8956604 PMC8967882 PMC8967908
## 1 1 3 4 2 1 3
## PMC8971981 PMC8977349 PMC8979493 PMC8979589 PMC8980034 PMC8980094 PMC8981716
## 1 1 1 12 1 3 1
## PMC8982855 PMC8986790 PMC8987780 PMC8988336 PMC8988339 PMC8989495 PMC8993692
## 3 1 1 1 3 2 1
## PMC8993893 PMC8994511 PMC8995392 PMC8995652 PMC8996409 PMC8996529 PMC8996588
## 2 11 1 3 2 1 2
## PMC8997352 PMC9001657 PMC9001675 PMC9001708 PMC9001847 PMC9001881 PMC9005704
## 5 1 2 2 1 5 1
## PMC9006574 PMC9006883 PMC9009261 PMC9009263 PMC9010788 PMC9011028 PMC9012019
## 3 1 1 1 4 1 1
## PMC9012227 PMC9012444 PMC9013128 PMC9013900 PMC9014220 PMC9017053 PMC9018864
## 1 1 6 2 2 1 2
## PMC9019091 PMC9019898 PMC9020135 PMC9021508 PMC9023604 PMC9032419 PMC9033806
## 2 1 2 1 4 4 2
## PMC9033827 PMC9033829 PMC9035054 PMC9037270 PMC9039613 PMC9040176 PMC9040432
## 5 1 1 3 2 1 4
## PMC9042912 PMC9043291 PMC9043932 PMC9044075 PMC9044176 PMC9044796 PMC9044973
## 3 1 4 2 1 6 1
## PMC9046089 PMC9046674 PMC9048645 PMC9049972 PMC9053669 PMC9054133
## 2 1 4 1 1 4summary(as.numeric(DIST))## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 1.000 2.000 2.329 3.000 12.000hist(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
## 11 PMC8979589 12
## 23 PMC8994511 11
## 45 PMC9013128 6
## 69 PMC9044796 6
## 29 PMC8997352 5
## 34 PMC9001881 5
## 57 PMC9033827 5
## 4 PMC8956509 4
## 40 PMC9010788 4
## 54 PMC9023604 4
## 55 PMC9032419 4
## 63 PMC9040432 4
## 66 PMC9043932 4
## 73 PMC9048645 4
## 76 PMC9054133 4
## 3 PMC8938529 3
## 7 PMC8967908 3
## 13 PMC8980094 3
## 15 PMC8982855 3
## 19 PMC8988339 3MOST_ERR_FILES = as.character(DIST_DF[1,1])
MOST_ERR_FILES## [1] "PMC8979589"# 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## PMC8931005 PMC8938418 PMC8938529 PMC8956509 PMC8956604 PMC8967882 PMC8967908
## 27 1 4 13 12 74 31
## PMC8971981 PMC8977349 PMC8979493 PMC8979589 PMC8980034 PMC8980094 PMC8981716
## 19 28 1 22 8 30 8
## PMC8982855 PMC8986790 PMC8987780 PMC8988336 PMC8988339 PMC8989495 PMC8993692
## 11 3 30 2 6 5 8
## PMC8993893 PMC8994511 PMC8995392 PMC8995652 PMC8996409 PMC8996529 PMC8996588
## 288 51 17 12 2 1 2
## PMC8997352 PMC9001657 PMC9001675 PMC9001708 PMC9001847 PMC9001881 PMC9005704
## 13 71 58 2 22 16 3
## PMC9006574 PMC9006883 PMC9009261 PMC9009263 PMC9010788 PMC9011028 PMC9012019
## 33 30 13 7 17 28 28
## PMC9012227 PMC9012444 PMC9013128 PMC9013900 PMC9014220 PMC9017053 PMC9018864
## 4 4 72 16 2 337 31
## PMC9019091 PMC9019898 PMC9020135 PMC9021508 PMC9023604 PMC9032419 PMC9033806
## 32 1 41 27 1480 5 46
## PMC9033827 PMC9033829 PMC9035054 PMC9037270 PMC9039613 PMC9040176 PMC9040432
## 48 2 2 3 2 14 4
## PMC9042912 PMC9043291 PMC9043932 PMC9044075 PMC9044176 PMC9044796 PMC9044973
## 17 1 336 22 1 17 2
## PMC9046089 PMC9046674 PMC9048645 PMC9049972 PMC9053669 PMC9054133
## 135 1 13 14 16 436hist(NERR,main="number of errors per PMC article")
NERR_DF <- as.data.frame(NERR)
NERR_DF <- NERR_DF[order(-NERR_DF$NERR),,drop=FALSE]
head(NERR_DF,20)## NERR
## PMC9023604 1480
## PMC9054133 436
## PMC9017053 337
## PMC9043932 336
## PMC8993893 288
## PMC9046089 135
## PMC8967882 74
## PMC9013128 72
## PMC9001657 71
## PMC9001675 58
## PMC8994511 51
## PMC9033827 48
## PMC9033806 46
## PMC9020135 41
## PMC9006574 33
## PMC9019091 32
## PMC8967908 31
## PMC9018864 31
## PMC8980094 30
## PMC8987780 30MOST_ERR = rownames(NERR_DF)[1]
MOST_ERR## [1] "PMC9023604"Journals affected
GENELIST_ERROR_ARTICLES <- gsub("PMC","",GENELIST_ERROR_ARTICLES)
### JSON PARSING is more reliable than XML
ARTICLES <- esummary( GENELIST_ERROR_ARTICLES , db="pmc" , retmode = "json" )
ARTICLE_DATA <- reutils::content(ARTICLES,as= "parsed")
ARTICLE_DATA <- ARTICLE_DATA$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] 48NUM_JOURNALS=length(JOURNALS_TABLE)
par(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] "8979589"
##
## $result$`8979589`
## $result$`8979589`$uid
## [1] "8979589"
##
## $result$`8979589`$pubdate
## [1] "2022 Feb 11"
##
## $result$`8979589`$epubdate
## [1] "2022 Feb 11"
##
## $result$`8979589`$printpubdate
## [1] ""
##
## $result$`8979589`$source
## [1] "eLife"
##
## $result$`8979589`$authors
## name authtype
## 1 Nguyen Ba AN Author
## 2 Lawrence KR Author
## 3 Rego-Costa A Author
## 4 Gopalakrishnan S Author
## 5 Temko D Author
## 6 Michor F Author
## 7 Desai MM Author
##
## $result$`8979589`$title
## [1] "Barcoded bulk QTL mapping reveals highly polygenic and epistatic architecture of complex traits in yeast"
##
## $result$`8979589`$volume
## [1] "11"
##
## $result$`8979589`$issue
## [1] ""
##
## $result$`8979589`$pages
## [1] "e73983"
##
## $result$`8979589`$articleids
## idtype value
## 1 pmid 35147078
## 2 doi 10.7554/eLife.73983
## 3 pmcid PMC8979589
##
## $result$`8979589`$fulljournalname
## [1] "eLife"
##
## $result$`8979589`$sortdate
## [1] "2022/02/11 00:00"
##
## $result$`8979589`$pmclivedate
## [1] "2022/04/05"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] "9023604"
##
## $result$`9023604`
## $result$`9023604`$uid
## [1] "9023604"
##
## $result$`9023604`$pubdate
## [1] "2022 Apr 21"
##
## $result$`9023604`$epubdate
## [1] "2022 Apr 21"
##
## $result$`9023604`$printpubdate
## [1] ""
##
## $result$`9023604`$source
## [1] "Nat Commun"
##
## $result$`9023604`$authors
## name authtype
## 1 Shi X Author
## 2 Li Y Author
## 3 Yuan Q Author
## 4 Tang S Author
## 5 Guo S Author
## 6 Zhang Y Author
## 7 He J Author
## 8 Zhang X Author
## 9 Han M Author
## 10 Liu Z Author
## 11 Zhu Y Author
## 12 Gao S Author
## 13 Wang H Author
## 14 Xu X Author
## 15 Zheng K Author
## 16 Jing W Author
## 17 Chen L Author
## 18 Wang Y Author
## 19 Jin G Author
## 20 Gao D Author
##
## $result$`9023604`$title
## [1] "Integrated profiling of human pancreatic cancer organoids reveals chromatin accessibility features associated with drug sensitivity"
##
## $result$`9023604`$volume
## [1] "13"
##
## $result$`9023604`$issue
## [1] ""
##
## $result$`9023604`$pages
## [1] "2169"
##
## $result$`9023604`$articleids
## idtype value
## 1 pmid 35449156
## 2 doi 10.1038/s41467-022-29857-6
## 3 pmcid PMC9023604
##
## $result$`9023604`$fulljournalname
## [1] "Nature Communications"
##
## $result$`9023604`$sortdate
## [1] "2022/04/21 00:00"
##
## $result$`9023604`$pmclivedate
## [1] "2022/04/28"Trend info
To plot the trend over the past 6-12 months.
url <- "http://ziemann-lab.net/public/gene_name_errors/"
doc <- htmlParse(url)
links <- xpathSApply(doc, "//a/@href")
links <- links[grep("html",links)]
links## href href href
## "Report_2021-02.html" "Report_2021-03.html" "Report_2021-04.html"
## href href href
## "Report_2021-05.html" "Report_2021-06.html" "Report_2021-07.html"
## href href href
## "Report_2021-08.html" "Report_2021-09.html" "Report_2021-10.html"
## href href href
## "Report_2021-11.html" "Report_2021-12.html" "Report_2022-01.html"
## href href href
## "Report_2022-02.html" "Report_2022-03.html" "Report_2022-04.html"unlink("online_files/",recursive=TRUE)
dir.create("online_files")
sapply(links, function(mylink) {
download.file(paste(url,mylink,sep=""),destfile=paste("online_files/",mylink,sep=""))
} )## href href href href href href href href href href href href href href href
## 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0myfilelist <- list.files("online_files/",full.names=TRUE)
trends <- sapply(myfilelist, function(myfilename) {
x <- readLines(myfilename)
# Num XL gene list articles
NUM_GENELIST_ARTICLES <- x[grep("NUM_GENELIST_ARTICLES",x)[3]+1]
NUM_GENELIST_ARTICLES <- sapply(strsplit(NUM_GENELIST_ARTICLES," "),"[[",3)
NUM_GENELIST_ARTICLES <- sapply(strsplit(NUM_GENELIST_ARTICLES,"<"),"[[",1)
NUM_GENELIST_ARTICLES <- as.numeric(NUM_GENELIST_ARTICLES)
# number of affected articles
NUM_ERROR_GENELIST_ARTICLES <- x[grep("NUM_ERROR_GENELIST_ARTICLES",x)[3]+1]
NUM_ERROR_GENELIST_ARTICLES <- sapply(strsplit(NUM_ERROR_GENELIST_ARTICLES," "),"[[",3)
NUM_ERROR_GENELIST_ARTICLES <- sapply(strsplit(NUM_ERROR_GENELIST_ARTICLES,"<"),"[[",1)
NUM_ERROR_GENELIST_ARTICLES <- as.numeric(NUM_ERROR_GENELIST_ARTICLES)
# Error proportion
ERROR_PROPORTION <- x[grep("ERROR_PROPORTION",x)[3]+1]
ERROR_PROPORTION <- sapply(strsplit(ERROR_PROPORTION," "),"[[",3)
ERROR_PROPORTION <- sapply(strsplit(ERROR_PROPORTION,"<"),"[[",1)
ERROR_PROPORTION <- as.numeric(ERROR_PROPORTION)
# number of journals
NUM_JOURNALS <- x[grep('JOURNALS_TABLE',x)[3]+1]
NUM_JOURNALS <- sapply(strsplit(NUM_JOURNALS," "),"[[",3)
NUM_JOURNALS <- sapply(strsplit(NUM_JOURNALS,"<"),"[[",1)
NUM_JOURNALS <- as.numeric(NUM_JOURNALS)
NUM_JOURNALS
res <- c(NUM_GENELIST_ARTICLES,NUM_ERROR_GENELIST_ARTICLES,ERROR_PROPORTION,NUM_JOURNALS)
return(res)
})
colnames(trends) <- sapply(strsplit(colnames(trends),"_"),"[[",3)
colnames(trends) <- gsub(".html","",colnames(trends))
trends <- as.data.frame(trends)
rownames(trends) <- c("NUM_GENELIST_ARTICLES","NUM_ERROR_GENELIST_ARTICLES","ERROR_PROPORTION","NUM_JOURNALS")
trends <- t(trends)
trends <- as.data.frame(trends)
CURRENT_RES <- c(NUM_GENELIST_ARTICLES,NUM_ERROR_GENELIST_ARTICLES,ERROR_PROPORTION,NUM_JOURNALS)
trends <- rbind(trends,CURRENT_RES)
paste(CURRENT_YEAR,CURRENT_MONTH,sep="-")## [1] "2022-05"rownames(trends)[nrow(trends)] <- paste(CURRENT_YEAR,CURRENT_MONTH,sep="-")
plot(trends$NUM_GENELIST_ARTICLES, xaxt = "n" , type="b" , main="Number of articles with Excel gene lists per month",
ylab="number of articles", xlab="month")
axis(1, at=1:nrow(trends), labels=rownames(trends))
plot(trends$NUM_ERROR_GENELIST_ARTICLES, xaxt = "n" , type="b" , main="Number of articles with gene name errors per month",
ylab="number of articles", xlab="month")
axis(1, at=1:nrow(trends), labels=rownames(trends))
plot(trends$ERROR_PROPORTION, xaxt = "n" , type="b" , main="Proportion of articles with Excel gene list affected by errors",
ylab="proportion", xlab="month")
axis(1, at=1:nrow(trends), labels=rownames(trends))
plot(trends$NUM_JOURNALS, xaxt = "n" , type="b" , main="Number of journals with affected articles",
ylab="number of journals", xlab="month")
axis(1, at=1:nrow(trends), labels=rownames(trends))
unlink("online_files/",recursive=TRUE)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 4.1.3 (2022-03-10)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 20.04.4 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
##
## 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
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] readxl_1.4.0 reutils_0.2.3 xml2_1.3.3 jsonlite_1.8.0 XML_3.99-0.9
##
## loaded via a namespace (and not attached):
## [1] knitr_1.38 magrittr_2.0.3 R6_2.5.1 rlang_1.0.2
## [5] fastmap_1.1.0 stringr_1.4.0 highr_0.9 tools_4.1.3
## [9] xfun_0.30 cli_3.2.0 jquerylib_0.1.4 htmltools_0.5.2
## [13] yaml_2.3.5 digest_0.6.29 assertthat_0.2.1 sass_0.4.1
## [17] bitops_1.0-7 RCurl_1.98-1.6 evaluate_0.15 rmarkdown_2.13
## [21] stringi_1.7.6 compiler_4.1.3 bslib_0.3.1 cellranger_1.1.0