数据文件配置说明

1、下载database.zip文件，

压缩包的目录结构为：

database

└── diamond_db

├── Animals.dmnd

├── Fungi.dmnd

├── ko.dmnd

└── Plants.dmnd

2、在软件安装目录解压缩database.zip文件。确保 VGenomics_RS/database/diamond_db 目录下存在以下4个文件：

├── Animals.dmnd

├── Fungi.dmnd

├── ko.dmnd

└── Plants.dmnd

测试数据：ref-based_test_rawdata.zip，

压缩包，包含文件列表如下所示：

├── chr22_with_ERCC92.fa

├── chr22_with_ERCC92.gtf

├── gene_GO_anno.txt

├── gene_KEGG_anno.txt

├── HBR_Rep1_ERCC-Mix2_Build37-ErccTranscripts-chr22.read1.fastq

├── HBR_Rep1_ERCC-Mix2_Build37-ErccTranscripts-chr22.read2.fastq

├── HBR_Rep2_ERCC-Mix2_Build37-ErccTranscripts-chr22.read1.fastq

├── HBR_Rep2_ERCC-Mix2_Build37-ErccTranscripts-chr22.read2.fastq

├── HBR_Rep3_ERCC-Mix2_Build37-ErccTranscripts-chr22.read1.fastq

├── HBR_Rep3_ERCC-Mix2_Build37-ErccTranscripts-chr22.read2.fastq

├── UHR_Rep1_ERCC-Mix1_Build37-ErccTranscripts-chr22.read1.fastq

├── UHR_Rep1_ERCC-Mix1_Build37-ErccTranscripts-chr22.read2.fastq

├── UHR_Rep2_ERCC-Mix1_Build37-ErccTranscripts-chr22.read1.fastq

├── UHR_Rep2_ERCC-Mix1_Build37-ErccTranscripts-chr22.read2.fastq

├── UHR_Rep3_ERCC-Mix1_Build37-ErccTranscripts-chr22.read1.fastq

├── UHR_Rep3_ERCC-Mix1_Build37-ErccTranscripts-chr22.read2.fastq

数据说明：

chr22_with_ERCC92.fa	only a single chromosome (chr22) and the ERCC spike-in, that is the human GRCh38 version of the genome from Ensembl.
chr22_with_ERCC92.gtf	annotations obtained from Ensembl (Homo_sapiens.GRCh38.86.gtf.gz) for chromosome 22 only.
gene_GO_anno.txt	GO functional annotation file.
gene_KEGG_anno.txt	KEGG functional annotation file.
*.fastq	The test data consists of two commercially available RNA samples: Universal Human Reference (UHR)and Human Brain Reference (HBR) . The UHR is total RNA isolated from a diverse set of 10 cancer cell lines. The HBR is total RNA isolated from the brains of 23 Caucasians, male and female, of varying age but mostly 60-80 years old. In addition, a spike-in control was used. Specifically we added an aliquot of the ERCC ExFold RNA Spike-In Control Mixes to each sample. The spike-in consists of 92 transcripts that are present in known concentrations across a wide abundance range (from very few copies to many copies).