To choose the database appropiate for your analysis, start by selecting thespeciesandranking type(i.e. What do you want to analyze: genes or regions?). Note that the download size is typically over 1GB (100GB for mammal region databases), we recommend downloading the files with zsync_curl...
备选方案:直接下载数据库 # Specify database name: feather_database_url='https://resources.aertslab.org/cistarget/databases/homo_sapiens/hg19/refseq_r45/mc8nr/gene_based/hg19-500bp-upstream-7species.mc8nr.feather' feather_database="${feather_database_url##*/}" # Download database directly...
备选方案:直接下载数据库 # Specify database name: feather_database_url='https://resources.aertslab.org/cistarget/databases/homo_sapiens/hg19/refseq_r45/mc8nr/gene_based/hg19-500bp-upstream-7species.mc8nr.feather' feather_database="${feather_database_url##*/}" # Download database directly ...
conda activate create_cistarget_databases 第二步:创建Cistarget数据库 根据create_cistarget_database的官方文档,需要输入以下文件 image.png 所需文件 1、FASTA file with regulatory regions: 所有基因的启动子区域序列,可以在UCSC中下载https://hgdownload.soe.ucsc.edu/goldenPath/rn7/bigZips/。 2、motifs矩阵...
先运行如下命令下载一个文件 用来检查数据完整性。 # Download sha256sum.txt (with wget or curl):wget https://resources.aertslab.org/cistarget/databases/sha256sum.txt 得到sha256sum.txt 内容如下: image.png 然后把你下载的文件逐个放进data文件去检查。