# 使用Rclone搭配OneDrive迁移大量数据

之前在自己的小机器上分析，现在需要在学校集群进行分析，因此需要在两个没有公网ip且不互联的服务器之间转移大量数据。因此计划使用Rclone，通过OneDrive进行中转。

## 打包需要转移的数据

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    data <- list()
    ref_sce <- readRDS('~/upload/zl_liu/data/pca.rds')
    data$zyy_umi <- ref_sce@assays$RNA@counts
    data$zyy_meta <- ref_sce@meta.data
    ref_sce <- readRDS('~/work_st/Prognosis/idea_2/fig3.2/fig6/sce.rds')
    data$ch_umi <- ref_sce@assays$originalexp@counts
    data$ch_meta <- ref_sce@meta.data
    # tp_dir <- list(
    #     SRX6887739 = '~/work_st/sce/GSE137829/res/SRX6887739/outs/filtered_feature_bc_matrix',
    #     SRX6887740 = '~/work_st/sce/GSE137829/res/SRX6887740/outs/filtered_feature_bc_matrix',
    #     SRX6887741 = '~/work_st/sce/GSE137829/res/SRX6887741/outs/filtered_feature_bc_matrix',
    #     SRX6887742 = '~/work_st/sce/GSE137829/res/SRX6887742/outs/filtered_feature_bc_matrix',
    #     SRX8890105 = '~/work_st/sce/GSE137829/res/SRX8890105/outs/filtered_feature_bc_matrix',
    #     SRX8890106 = '~/work_st/sce/GSE137829/res/SRX8890106/outs/filtered_feature_bc_matrix'
    # )
    # counts <- Seurat::Read10X(data.dir = unlist(tp_dir))
    # sce <- Seurat::CreateSeuratObject(counts, project = 'GSE137829',
    #                             min.cells = 3, min.features = 200)
    # data$GSE137829_umi <- sce@assays$RNA@counts
    # data$GSE137829_meta <- sce@meta.data
    tp_dir <- list(
        P1 = '~/work/GSE137829/GSM4089151_P1_gene_cell_exprs_table.txt.gz',
        P2 = '~/work/GSE137829/GSM4089152_P2_gene_cell_exprs_table.txt.gz',
        P3 = '~/work/GSE137829/GSM4089153_P3_gene_cell_exprs_table.txt.gz',
        P4 = '~/work/GSE137829/GSM4089154_P4_gene_cell_exprs_table.txt.gz',
        P5 = '~/work/GSE137829/GSM4711414_P5_gene_cell_exprs_table.txt.gz',
        P6 = '~/work/GSE137829/GSM4711415_P6_gene_cell_exprs_table.txt.gz'
    )
    sce <- list()
    for (i in names(tp_dir)){
        tmp <- read.table(gzfile(tp_dir[[i]]), header = T)
        umi <- Matrix::as.matrix(x = tmp[-c(1,2)])
        umi <- Matrix::Matrix(data = umi, sparse = T)
        rownames(umi) <- tmp$Symbol
        sce[[i]] <- Seurat::CreateSeuratObject(umi, project = i,
                                    min.cells = 3, min.features = 200)
    }
    sce <- Reduce(merge, sce)
    data$geo_umi <- sce@assays$RNA@counts
    data$geo_meta <- sce@meta.data
    saveRDS(data, '22.10.04.rds')

## Rclone挂载OneDrive

- conda activate jupyter
- conda install -c conda-forge rclone -y

在两台服务器上挂载同一个OneDrive，第二台可以直接使用第一台的配置

## Rclone上传下载数据

- rclone copy –ignore-existing –progress –ignore-errors –transfers=1 ./22.10.04.rds onedrive:tmp
- rclone ls onedrive:tmp
- rclone copy –ignore-existing –progress –ignore-errors –transfers=1 onedrive:tmp/22.10.04.rds .

单细胞
使用Rclone搭配OneDrive迁移大量数据
https://occdn.limour.top/2404.html
Author
Limour
Posted on
October 4, 2022
Licensed under
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