最方便的还是R语言呀，获取所有基因的上游100bp序列

bioinfotrainee

不需要去找基因组序列，不需要去找基因结构坐标信息，也不需要写脚本了。

一切，都是在R里面完成，如下：
[mw_shl_code=applescript,true]source("https://bioconductor.org/biocLite.R")
biocLite("BSgenome.Hsapiens.UCSC.hg19")
biocLite("TxDb.Hsapiens.UCSC.hg19.knownGene")

# BSgenome data package was made from the following source data files:
# chromFa.zip from http://hgdownload.cse.ucsc.edu/goldenPath/hg19/bigZips/
library(BSgenome.Hsapiens.UCSC.hg19)
library(TxDb.Hsapiens.UCSC.hg19.knownGene)
BSgenome.Hsapiens.UCSC.hg19
genome <- BSgenome.Hsapiens.UCSC.hg19
seqlengths(genome)
genome$chr1  # same as genome[["chr1"]]

library(TxDb.Hsapiens.UCSC.hg19.knownGene)
txdb <- TxDb.Hsapiens.UCSC.hg19.knownGene
gn <- sort(genes(txdb))
up1000 <- flank(gn, width=1000)
up1000seqs <- getSeq(genome, up1000)[/mw_shl_code]

Jimmy

也有现成的轮子做这件事：Get a BED file of all regions not covered by the probes (+500 bp up/down)

bedtools complement -i probes.500bp.bed -g hg18.genome > probes.500bp.complement.bed