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SNP_LOC_DATA.rda

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下载链接:
https://figshare.com/articles/dataset/SNP_LOC_DATA_rda/11874372
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This file is used by MAGMA_Celltyping R package and is too large to store in github tmpF1 = tempfile() tmpF2 = tempfile() download.file("https://ctg.cncr.nl/software/MAGMA/ref_data/g1000_eur.zip",tmpF1) library(R.utils) unzip(tmpF1,exdir=dirname(tmpF1)) library(data.table) snpsALL = data.table::fread(sprintf("%s/g1000_eur.bim",dirname(tmpF1))) g1000_snps = as.character(snpsALL$V2) #tmpF1 = tempfile() #tmpF2 = tempfile() #download.file("https://data.broadinstitute.org/alkesgroup/LDSCORE/w_hm3.snplist.bz2",tmpF1) #library(R.utils) #gunzip(tmpF1,tmpF2) #whm3 = read.table(tmpF2,stringsAsFactors = FALSE) #hm3_rsids = whm3[,1] # Get GRCh37 locations #source("https://bioconductor.org/biocLite.R") #BiocManager::install("SNPlocs.Hsapiens.dbSNP144.GRCh37") library("SNPlocs.Hsapiens.dbSNP144.GRCh37") snps <- SNPlocs.Hsapiens.dbSNP144.GRCh37 #g1000_snps = g1000_snps[grep("^rs",g1000_snps)] snp_locs = snpsById(snps, g1000_snps,ifnotfound="drop") SNP = mcols(snp_locs)$RefSNP_id CHR = as.character(seqnames(snp_locs)) #seqnames(snp_locs) BP = pos(snp_locs) SNP_DATA_GRCh37 = data.frame(SNP=SNP,CHR=CHR,BP=BP,Build="GRCh37",stringsAsFactors=FALSE) #SNP_DATA_GRCh37 = data.table(SNP=SNP,CHR=CHR,BP=BP,Build="GRCh37") #usethis::use_data(SNP_DATA_GRCh37,overwrite = TRUE) # Get GRCh38 locations #source("https://bioconductor.org/biocLite.R") #BiocManager::install("SNPlocs.Hsapiens.dbSNP144.GRCh38") library(SNPlocs.Hsapiens.dbSNP144.GRCh38) snps <- SNPlocs.Hsapiens.dbSNP144.GRCh38 snp_locs = snpsById(snps, g1000_snps,ifnotfound="drop") SNP = mcols(snp_locs)$RefSNP_id CHR = as.character(seqnames(snp_locs)) BP = pos(snp_locs) SNP_DATA_GRCh38 = data.frame(SNP=SNP,CHR=CHR,BP=BP,Build="GRCh38",stringsAsFactors=FALSE) #usethis::use_data(SNP_DATA_GRCh38,overwrite = TRUE) # Save to package /data/ SNP_LOC_DATA = rbind(SNP_DATA_GRCh37,SNP_DATA_GRCh38) usethis::use_data(SNP_LOC_DATA,overwrite = TRUE)
创建时间:
2020-02-19
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