Source: https://github.com/markziemann/GeneNameErrors2020
View the reports: http://ziemann-lab.net/public/gene_name_errors/
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")
library("RCurl")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] "2023/3"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 = paste(DATE,"/1",sep="") , maxdate = paste(DATE,"/31",sep=""))
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] 3417writeLines(pmc,con="pmc.txt")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] 4658NUM_XLS_ARTICLES = length(unique(sapply(strsplit(XLS," "),"[[",1)))
NUM_XLS_ARTICLES## [1] 887GENELISTS <- XLS[lapply(strsplit(XLS," "),length)>2]
#GENELISTS
NUM_GENELISTS <- length(unique(sapply(strsplit(GENELISTS," "),"[[",2)))
NUM_GENELISTS## [1] 545NUM_GENELIST_ARTICLES <- length(unique(sapply(strsplit(GENELISTS," "),"[[",1)))
NUM_GENELIST_ARTICLES## [1] 293ERROR_GENELISTS <- XLS[lapply(strsplit(XLS," "),length)>3]
#ERROR_GENELISTS
NUM_ERROR_GENELISTS = length(ERROR_GENELISTS)
NUM_ERROR_GENELISTS## [1] 260GENELIST_ERROR_ARTICLES <- unique(sapply(strsplit(ERROR_GENELISTS," "),"[[",1))
GENELIST_ERROR_ARTICLES## [1] "PMC10040137" "PMC10039465" "PMC10037080" "PMC10036921" "PMC10034058"
## [6] "PMC10033906" "PMC10033451" "PMC10028295" "PMC10028223" "PMC10027475"
## [11] "PMC10022859" "PMC10022277" "PMC10022194" "PMC10017747" "PMC10016690"
## [16] "PMC10016662" "PMC10010668" "PMC10009272" "PMC10008571" "PMC10005326"
## [21] "PMC10005268" "PMC10002577" "PMC10000440" "PMC10000302" "PMC9997660"
## [26] "PMC9984532" "PMC9983314" "PMC9981464" "PMC9981200" "PMC9980695"
## [31] "PMC9980301" "PMC9977441" "PMC9977313" "PMC9975319" "PMC9972295"
## [36] "PMC10045015" "PMC10043811" "PMC10041653" "PMC10035230" "PMC10033758"
## [41] "PMC10033677" "PMC10033585" "PMC10028083" "PMC10028036" "PMC10027880"
## [46] "PMC10025971" "PMC10025435" "PMC10025395" "PMC10022665" "PMC10020157"
## [51] "PMC10014956" "PMC10014730" "PMC10012531" "PMC10011742" "PMC10011429"
## [56] "PMC10011141" "PMC10011137" "PMC10011132" "PMC10010006" "PMC10008496"
## [61] "PMC10003012" "PMC10002421" "PMC9998611" "PMC9998435" "PMC9998083"
## [66] "PMC9997923" "PMC9996951" "PMC9995926" "PMC9995291" "PMC9982299"
## [71] "PMC9981717" "PMC9981215" "PMC9978639" "PMC9978323" "PMC9977725"
## [76] "PMC9977003" "PMC9975292" "PMC9975158" "PMC9972178"NUM_ERROR_GENELIST_ARTICLES <- length(GENELIST_ERROR_ARTICLES)
NUM_ERROR_GENELIST_ARTICLES## [1] 79ERROR_PROPORTION = NUM_ERROR_GENELIST_ARTICLES / NUM_GENELIST_ARTICLES
ERROR_PROPORTION## [1] 0.2696246Here 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] "PMC10040137 PMC_DL/PMC10040137/supplementaryfiles/13148_2023_1442_MOESM2_ESM.xlsx Ggallus 33 44441 44441 44445 44441 44262 44442 44445 44258 44259 44261 44441 44448 44256 44263 44449 44263 44260 44454 44444 44443 44263 44442 44445 44450 44446 44258 44258 44443 44264 44531 44449 44443 44443"
## [2] "PMC10040137 PMC_DL/PMC10040137/supplementaryfiles/13148_2023_1442_MOESM2_ESM.xlsx Hsapiens 3 44257 44258 44440"
## [3] "PMC10039465 PMC_DL/PMC10039465/supplementaryfiles/NIHMS1877580-supplement-7.xlsx Hsapiens 4 7-Sep 3-Sep 2-Sep 11-Sep"
## [4] "PMC10037080 zip/SourceData_figures.xlsx Athaliana 8 45171 45170 45017 45017 45017 45171 45170 45017"
## [5] "PMC10037080 zip/SourceData_figures.xlsx Athaliana 4 44652 44806 44652 44652"
## [6] "PMC10037080 zip/SourceData_figures.xlsx Athaliana 8 45017 45171 45170 45017 45017 45171 45170 45017"
## [7] "PMC10037080 zip/SourceData_figures.xlsx Athaliana 8 45017 45171 45170 45017 45017 45017 45171 45170"
## [8] "PMC10037080 zip/SourceData_figures.xlsx Athaliana 8 45017 45171 45170 45171 45170 45017 45017 45017"
## [9] "PMC10036921 PMC_DL/PMC10036921/supplementaryfiles/Table_1.xlsx Hsapiens 1 44994"
## [10] "PMC10036921 PMC_DL/PMC10036921/supplementaryfiles/Table_1.xlsx Hsapiens 1 45176"
## [11] "PMC10034058 PMC_DL/PMC10034058/supplementaryfiles/Table4.XLSX Hsapiens 15 38200 37104 37834 40422 37500 40787 39692 39326 37469 41153 37135 38231 40057 38596 37865"
## [12] "PMC10033906 PMC_DL/PMC10033906/supplementaryfiles/41467_2023_37266_MOESM14_ESM.xlsx Hsapiens 17 44813 44806 44626 44808 44811 44805 44810 44622 44814 44627 44815 44625 44621 44628 44818 44629 44631"
## [13] "PMC10033906 PMC_DL/PMC10033906/supplementaryfiles/41467_2023_37266_MOESM3_ESM.xlsx Hsapiens 268 44622 44622 44622 44811 44622 44622 44812 44811 44806 44813 44813 44621 44626 44812 44811 44626 44813 44626 44815 44626 44626 44815 44626 44806 44813 44622 44806 44622 44625 44626 44806 44819 44808 44808 44808 44806 44806 44806 44806 44622 44813 44813 44806 44806 44806 44811 44806 44806 44806 44806 44806 44626 44626 44626 44896 44625 44806 44806 44806 44806 44806 44811 44813 44811 44813 44806 44622 44625 44813 44814 44811 44806 44813 44814 44815 44626 44811 44813 44622 44622 44813 44815 44622 44806 44813 44806 44813 44812 44806 44806 44806 44808 44806 44626 44813 44626 44813 44806 44813 44813 44813 44815 44806 44622 44622 44806 44806 44625 44813 44626 44810 44805 44622 44813 44808 44626 44626 44811 44811 44810 44810 44621 44805 44813 44813 44813 44621 44626 44628 44814 44811 44811 44806 44806 44806 44813 44814 44626 44818 44818 44626 44627 44805 44814 44813 44627 44813 44622 44626 44810 44808 44808 44629 44627 44626 44626 44625 44625 44625 44813 44625 44625 44625 44806 44805 44813 44813 44806 44806 44813 44806 44811 44813 44622 44813 44806 44806 44813 44808 44813 44813 44813 44813 44813 44627 44813 44627 44806 44815 44814 44814 44622 44813 44813 44813 44813 44806 44810 44810 44811 44806 44813 44814 44806 44626 44626 44811 44810 44626 44621 44626 44813 44806 44806 44806 44626 44806 44814 44814 44805 44621 44811 44622 44808 44806 44622 44626 44626 44813 44815 44813 44896 44815 44811 44813 44813 44813 44813 44813 44622 44806 44813 44813 44622 44814 44806 44814 44811 44811 44811 44813 44806 44813 44815 44813 44626 44811 44813 44813 44813 44622 44622 44622 44814 44814 44806 44815 44815"
## [14] "PMC10033906 PMC_DL/PMC10033906/supplementaryfiles/41467_2023_37266_MOESM15_ESM.xlsx Hsapiens 19 44813 44806 44811 44626 44814 44815 44622 44810 44808 44627 44896 44621 44805 44621 44622 44819 44628 44623 44818"
## [15] "PMC10033906 PMC_DL/PMC10033906/supplementaryfiles/41467_2023_37266_MOESM4_ESM.xlsx Hsapiens 47 44819 44810 44626 44813 44815 44815 44631 44631 44622 44628 44813 44813 44813 44813 44813 44813 44813 44813 44813 44813 44813 44627 44815 44623 44818 44896 44896 44896 44896 44896 44813 44813 44813 44819 44819 44815 44813 44813 44813 44622 44622 44622 44814 44814 44806 44815 44815"
## [16] "PMC10033906 PMC_DL/PMC10033906/supplementaryfiles/41467_2023_37266_MOESM13_ESM.xlsx Hsapiens 13 44806 44813 44622 44811 44626 44808 44814 44815 44625 44896 44622 44812 44810"
## [17] "PMC10033906 PMC_DL/PMC10033906/supplementaryfiles/41467_2023_37266_MOESM6_ESM.xlsx Hsapiens 1 44819"
## [18] "PMC10033906 PMC_DL/PMC10033906/supplementaryfiles/41467_2023_37266_MOESM5_ESM.xlsx Hsapiens 5 44626 44626 44811 44621 44819"
## [19] "PMC10033451 PMC_DL/PMC10033451/supplementaryfiles/41591_2023_2221_MOESM3_ESM.xlsx Hsapiens 19 44815 44812 44626 44627 44629 44805 44811 44628 44622 44806 44625 44814 44813 44810 44622 44809 44621 44623 44621"
## [20] "PMC10033451 PMC_DL/PMC10033451/supplementaryfiles/41591_2023_2221_MOESM3_ESM.xlsx Hsapiens 19 44809 44622 44623 44621 44805 44815 44626 44810 44622 44621 44806 44628 44812 44811 44814 44629 44813 44625 44627"
## [21] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 24 44986 44994 44990 44993 44992 44988 44991 44987 44991 44992 44994 44988 44987 44990 44993 44986 44991 44986 44987 44993 44988 44992 44990 44994"
## [22] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 8 44992 44991 44988 44994 44990 44993 44986 44987"
## [23] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 32 44992 44994 44991 44988 44986 44990 44987 44993 44991 44988 44992 44990 44993 44987 44986 44994 44994 44992 44990 44988 44991 44993 44986 44987 44994 44991 44992 44987 44986 44990 44993 44988"
## [24] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 24 44991 44994 44990 44987 44988 44992 44993 44986 44990 44988 44992 44994 44991 44993 44987 44986 44991 44992 44990 44993 44988 44994 44987 44986"
## [25] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 24 44991 44987 44990 44994 44988 44992 44993 44986 44990 44992 44988 44994 44993 44986 44991 44987 44991 44990 44992 44993 44987 44986 44988 44994"
## [26] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 24 44988 44987 44991 44994 44992 44990 44993 44986 44994 44987 44992 44993 44988 44990 44991 44986 44987 44994 44988 44993 44990 44992 44991 44986"
## [27] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 32 44994 44991 44992 44986 44987 44990 44988 44993 44991 44988 44992 44994 44990 44993 44987 44986 44994 44991 44990 44988 44992 44986 44987 44993 44991 44986 44994 44992 44988 44987 44993 44990"
## [28] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_4.xlsx Hsapiens 8 44991 44990 44992 44987 44986 44994 44993 44988"
## [29] "PMC10028295 PMC_DL/PMC10028295/supplementaryfiles/Table_2.xlsx Hsapiens 1 44991"
## [30] "PMC10028223 PMC_DL/PMC10028223/supplementaryfiles/Supplementary_Data3.xlsx Hsapiens 2 44621 44622"
## [31] "PMC10028223 PMC_DL/PMC10028223/supplementaryfiles/Supplementary_Data4.xlsx Hsapiens 3 44621 44622 44896"
## [32] "PMC10027475 PMC_DL/PMC10027475/supplementaryfiles/mmc2.xlsx Hsapiens 16 36951 39508 36951 39508 36951 36951 36951 36951 36951 36951 39508 36951 36951 36951 36951 39508"
## [33] "PMC10022859 zip/Supplementary_Table_1_Akbar_et_al.xlsx Hsapiens 11 37681 39326 37500 37316 40422 39692 41883 36951 38961 38412 39142"
## [34] "PMC10022277 PMC_DL/PMC10022277/supplementaryfiles/12943_2023_1734_MOESM7_ESM.xlsx Hsapiens 2 39326 41883"
## [35] "PMC10022277 PMC_DL/PMC10022277/supplementaryfiles/12943_2023_1734_MOESM7_ESM.xlsx Hsapiens 1 40422"
## [36] "PMC10022277 PMC_DL/PMC10022277/supplementaryfiles/12943_2023_1734_MOESM7_ESM.xlsx Hsapiens 6 40422 39692 38961 37135 38231 37865"
## [37] "PMC10022277 PMC_DL/PMC10022277/supplementaryfiles/12943_2023_1734_MOESM7_ESM.xlsx Hsapiens 13 40422 40787 40057 39692 42248 37865 38596 37500 39326 38231 37135 38961 41883"
## [38] "PMC10022194 PMC_DL/PMC10022194/supplementaryfiles/12957_2022_2836_MOESM1_ESM.xlsx Hsapiens 3 43900 44078 44080"
## [39] "PMC10022194 PMC_DL/PMC10022194/supplementaryfiles/12957_2022_2836_MOESM1_ESM.xlsx Hsapiens 1 44077"
## [40] "PMC10017747 PMC_DL/PMC10017747/supplementaryfiles/Table_1.xlsx Mmusculus 2 43166 43160"
## [41] "PMC10017747 PMC_DL/PMC10017747/supplementaryfiles/Table_1.xlsx Mmusculus 4 44621 44622 44626 44628"
## [42] "PMC10017747 PMC_DL/PMC10017747/supplementaryfiles/Table_1.xlsx Hsapiens 2 44621 44622"
## [43] "PMC10017747 PMC_DL/PMC10017747/supplementaryfiles/Table_1.xlsx Hsapiens 5 44808 44807 44809 44623 44630"
## [44] "PMC10016690 PMC_DL/PMC10016690/supplementaryfiles/Table_3.xlsx Hsapiens 3 44621 44809 44623"
## [45] "PMC10016690 PMC_DL/PMC10016690/supplementaryfiles/Table_2.xlsx Hsapiens 3 44621 44622 44812"
## [46] "PMC10016690 PMC_DL/PMC10016690/supplementaryfiles/Table_1.xlsx Hsapiens 3 44622 44621 44896"
## [47] "PMC10016662 PMC_DL/PMC10016662/supplementaryfiles/ppat.1011232.s013.xlsx Hsapiens 24 43898 43900 44089 44166 43892 44081 43897 43894 44076 44080 44085 43896 44079 44088 43893 43901 44078 44084 44083 43895 44082 43899 44086 44077"
## [48] "PMC10010668 PMC_DL/PMC10010668/supplementaryfiles/cir-147-881-s006.xlsx Mmusculus 67 44627 44627 44627 44627 44627 44627 44627 44627 44627 44627 44627 44627 44815 44815 44815 44815 44815 44815 44815 44805 44805 44811 44811 44811 44811 44811 44811 44812 44812 44812 44812 44812 44812 44808 44808 44813 44813 44813 44813 44813 44813 44813 44813 44813 44813 44813 44631 44626 44626 44626 44626 44622 44622 44623 44623 44623 44623 44623 44623 44623 44623 44623 44623 44810 44810 44810 44810"
## [49] "PMC10009272 PMC_DL/PMC10009272/supplementaryfiles/Table5.XLSX Hsapiens 28 41699 41884 41885 41699 41888 41887 41704 41892 41706 41893 41701 41698 41703 41895 41889 41705 41883 41973 41707 41700 41882 41896 41708 41890 41886 41698 41891 41702"
## [50] "PMC10009272 PMC_DL/PMC10009272/supplementaryfiles/Table1.XLSX Hsapiens 28 44813 44806 44811 44812 44815 44814 44627 44819 44626 44625 44624 44628 44810 44622 44629 44809 44622 44623 44621 44818 44808 44805 44807 44621 44896 44630 44816 44631"
## [51] "PMC10009272 PMC_DL/PMC10009272/supplementaryfiles/Table6.XLSX Hsapiens 28 43892 44077 44078 43892 44081 44080 43897 44085 43899 44086 43894 43891 43896 44088 44082 43898 44076 44166 43900 43893 44075 44089 43901 44083 44079 43891 44084 43895"
## [52] "PMC10009272 PMC_DL/PMC10009272/supplementaryfiles/Table7.XLSX Hsapiens 28 43894 44085 44084 43899 43892 44082 44075 43897 43895 44081 44089 44079 44088 43891 43892 44083 44080 44166 43893 44077 43900 43896 43898 44076 44078 43891 44086 43901"
## [53] "PMC10008571 PMC_DL/PMC10008571/supplementaryfiles/41467_2023_36922_MOESM4_ESM.xls Hsapiens 6 44621 44630 44626 44627 44628 44810"
## [54] "PMC10005326 zip/Supp_Table_S3.xlsx Athaliana 2 44777 44777"
## [55] "PMC10005268 zip/nutrients-2184192-sup1/Table_S9.xlsx Mmusculus 1 11-Sep"
## [56] "PMC10002577 zip/Supp_Table_S3._Total_number_of_Single_Nucleotide_Variants_of_hepatic_lysosomal_enzyme_activities_and_GSLs_identified_by_GWAS_analysis_02.xlsx Mmusculus 2 38200 37135"
## [57] "PMC10002577 zip/Supp_Table_S3._Total_number_of_Single_Nucleotide_Variants_of_hepatic_lysosomal_enzyme_activities_and_GSLs_identified_by_GWAS_analysis_02.xlsx Mmusculus 1 40422"
## [58] "PMC10000440 zip/Table_S3.xlsx Ggallus 1 44622"
## [59] "PMC10000440 zip/Table_S3.xlsx Ggallus 1 44622"
## [60] "PMC10000440 zip/Table_S3.xlsx Ggallus 2 44622 44622"
## [61] "PMC10000440 zip/Table_S3.xlsx Ggallus 1 44621"
## [62] "PMC10000440 zip/Table_S2.xlsx Ggallus 4 44622 44622 44622 44622"
## [63] "PMC10000440 zip/Table_S2.xlsx Ggallus 1 44621"
## [64] "PMC10000302 PMC_DL/PMC10000302/supplementaryfiles/peerj-11-14913-s001.xlsx Mmusculus 22 44813 44621 44805 44630 44814 44631 44815 44622 44806 44623 44807 44624 44808 44625 44809 44626 44810 44627 44811 44628 44812 44629"
## [65] "PMC10000302 PMC_DL/PMC10000302/supplementaryfiles/peerj-11-14913-s003.xlsx Mmusculus 22 44808 44805 44630 44622 44631 44809 44627 44815 44812 44628 44811 44625 44810 44624 44629 44807 44626 44814 44621 44806 44623 44813"
## [66] "PMC9997660 PMC_DL/PMC9997660/supplementaryfiles/JCB_202208159_DataS1.xlsx Hsapiens 35 43534 43718 43529 43535 43528 43719 43722 43526 43527 43711 43800 43533 43712 43717 43716 43710 43714 43720 43713 43532 43717 43714 43718 43715 43715 43711 43713 43710 43723 43712 43716 43530 43720 43719 43531"
## [67] "PMC9997660 PMC_DL/PMC9997660/supplementaryfiles/JCB_202208159_DataS2.xls Hsapiens 27 2021/12/01 2021/03/01 2021/03/02 2021/03/01 2021/03/10 2021/03/11 2021/03/02 2021/03/03 2021/03/04 2021/03/05 2021/03/06 2021/03/07 2021/03/08 2021/03/09 2021/09/01 2021/09/10 2021/09/11 2021/09/12 2021/09/14 2021/09/02 2021/09/03 2021/09/04 2021/09/05 2021/09/06 2021/09/07 2021/09/08 2021/09/09"
## [68] "PMC9984532 PMC_DL/PMC9984532/supplementaryfiles/41467_2023_36866_MOESM7_ESM.xlsx Scerevisiae 2 37165 45413"
## [69] "PMC9984532 PMC_DL/PMC9984532/supplementaryfiles/41467_2023_36866_MOESM7_ESM.xlsx Scerevisiae 2 37165 45413"
## [70] "PMC9984532 PMC_DL/PMC9984532/supplementaryfiles/41467_2023_36866_MOESM7_ESM.xlsx Scerevisiae 2 37165 45413"
## [71] "PMC9983314 PMC_DL/PMC9983314/supplementaryfiles/JCMM-27-714-s001.xlsx Hsapiens 30 44896 44630 44630 44622 44622 44623 44623 44625 44626 44627 44628 44628 44819 44819 44805 44814 44815 44816 44806 44806 44806 44806 44808 44809 44809 44809 44811 44811 44813 44813"
## [72] "PMC9981464 PMC_DL/PMC9981464/supplementaryfiles/41564_2023_1326_MOESM3_ESM.xlsx Mmusculus 28 44446 44446 44447 44443 44260 44260 44263 44263 44263 44263 44441 44441 44262 44262 44454 44261 44445 44445 44450 44450 44448 44444 44444 44444 44444 44257 44257 44257"
## [73] "PMC9981464 PMC_DL/PMC9981464/supplementaryfiles/41564_2023_1326_MOESM3_ESM.xlsx Mmusculus 1 44260"
## [74] "PMC9981200 PMC_DL/PMC9981200/supplementaryfiles/crc-22-0037-s05.xlsx Hsapiens 25 44260 44448 44257 44266 44265 44256 44447 44256 44443 44262 44258 44444 44450 44259 44440 44263 44257 44441 44264 44445 44261 44451 44442 44446 44449"
## [75] "PMC9981200 PMC_DL/PMC9981200/supplementaryfiles/crc-22-0037-s06.xlsx Hsapiens 23 43164 43348 43160 43344 43168 43166 43354 43162 43345 43169 43351 43165 43163 43161 43352 43170 43353 43350 43346 43347 43349 43355 43167"
## [76] "PMC9980695 zip/Supplementary/SM_table_S1.xlsx Mmusculus 4 42064 42248 42256 42262"
## [77] "PMC9980301 PMC_DL/PMC9980301/supplementaryfiles/MOL2-17-499-s008.xlsx Hsapiens 5 44813 44813 44813 44813 44809"
## [78] "PMC9980301 PMC_DL/PMC9980301/supplementaryfiles/MOL2-17-499-s008.xlsx Hsapiens 2 44621 44808"
## [79] "PMC9980301 PMC_DL/PMC9980301/supplementaryfiles/MOL2-17-499-s014.xlsx Hsapiens 5 44813 44813 44813 44813 44809"
## [80] "PMC9980301 PMC_DL/PMC9980301/supplementaryfiles/MOL2-17-499-s005.xlsx Hsapiens 2 44621 44808"
## [81] "PMC9977441 PMC_DL/PMC9977441/supplementaryfiles/jciinsight-8-162409-s115.xlsx Hsapiens 3 38200 37104 37834"
## [82] "PMC9977441 PMC_DL/PMC9977441/supplementaryfiles/jciinsight-8-162409-s115.xlsx Hsapiens 4 38200 37469 37104 37834"
## [83] "PMC9977441 PMC_DL/PMC9977441/supplementaryfiles/jciinsight-8-162409-s115.xlsx Hsapiens 4 38200 37469 37104 37834"
## [84] "PMC9977441 PMC_DL/PMC9977441/supplementaryfiles/jciinsight-8-162409-s115.xlsx Hsapiens 3 38200 37469 37104"
## [85] "PMC9977441 PMC_DL/PMC9977441/supplementaryfiles/jciinsight-8-162409-s115.xlsx Hsapiens 4 37469 37834 37104 38200"
## [86] "PMC9977441 PMC_DL/PMC9977441/supplementaryfiles/jciinsight-8-162409-s115.xlsx Hsapiens 4 37469 37834 37104 38200"
## [87] "PMC9977441 PMC_DL/PMC9977441/supplementaryfiles/jciinsight-8-162409-s115.xlsx Hsapiens 4 37469 37834 37104 38200"
## [88] "PMC9977313 PMC_DL/PMC9977313/supplementaryfiles/jciinsight-8-150368-s052.xlsx Hsapiens 1 37681"
## [89] "PMC9977313 PMC_DL/PMC9977313/supplementaryfiles/jciinsight-8-150368-s053.xlsx Hsapiens 3 36951 36951 41883"
## [90] "PMC9975319 PMC_DL/PMC9975319/supplementaryfiles/mmc4.xlsx Hsapiens 14 43892 43892 43897 43899 43894 43891 43896 43898 44166 43900 43893 43901 43891 43895"
## [91] "PMC9975319 PMC_DL/PMC9975319/supplementaryfiles/mmc4.xlsx Hsapiens 10 43892 43892 43897 43899 43891 43896 43898 43893 43891 43895"