{"id":66541,"date":"2026-11-15T20:00:00","date_gmt":"2026-11-15T12:00:00","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=66541"},"modified":"2026-11-15T14:01:10","modified_gmt":"2026-11-15T06:01:10","slug":"rental-q012-b","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/rental-q012-b\/","title":{"rendered":"\u7528\u5206\u6279\u5408\u5e76\u4e0e\u8d44\u6e90\u76d1\u63a7\u89c4\u5212\u591a\u6837\u672c\u670d\u52a1\u5668"},"content":{"rendered":"

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\u672c\u6587\u64cd\u4f5c\u4e0e\u68c0\u67e5\u8def\u5f84\u793a\u610f\u3002<\/figcaption><\/figure>\n

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\u51c6\u5907CSV\uff0c\u81f3\u5c11\u6709sample_id,path<\/code>\u4e24\u5217\u3002\u6bcf\u4e2a\u6587\u4ef6\u5e94\u5df2\u6838\u5bf9RNA\u539f\u59cbcounts\u3001\u53c2\u8003\u7248\u672c\u548c\u7ec6\u80de\u7ea7\u5143\u6570\u636e\uff0c\u6837\u672cID\u4e0d\u91cd\u590d\u3002\u4e0d\u540c\u6279\u6b21\u5fc5\u987b\u4f7f\u7528\u540c\u4e00\u5904\u7406\u811a\u672c\u4e0e\u7248\u672c\uff0c\u4e0d\u80fd\u4e00\u6279\u4fdd\u7559SCT\u3001\u4e00\u6279\u53ea\u6709counts\uff0c\u518d\u628a\u5dee\u5f02\u5f52\u7ed3\u4e3a\u5408\u5e76\u51fa\u9519\u3002<\/p>\n

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\u6700\u7ec8\u5408\u5e76<\/td>\n\u5168\u90e8\u6279\u6b21\u6587\u4ef6\u53ca\u6837\u672c\u96c6\u5408<\/td>\n\u4e0d\u6f0f\u6837\u3001\u4e0d\u91cd\u590d\u3001\u5c42\u7ed3\u6784\u6b63\u786e<\/td>\n<\/tr>\n
\u8fc1\u51fa\u6216\u7ee7\u7eed\u5206\u6790<\/td>\n\u5bf9\u8c61\u4e0e\u5916\u90e8\u540e\u7aef\u7684\u8def\u5f84\u6e05\u5355<\/td>\n\u65b0\u4f1a\u8bdd\u53ef\u8bfb\u4e14\u4e0b\u4e00\u6b65\u53ef\u6267\u884c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u8ba9\u6bcf\u4e00\u6279\u5728\u72ec\u7acbR\u8fdb\u7a0b\u5b8c\u6210<\/h2>\n

\u5c06\u4e0b\u9762\u4ee3\u7801\u4fdd\u5b58\u4e3amerge_batch.R<\/code>\u3002\u8f93\u5165CSV\u662f\u4e00\u6279\u5df2\u7ecf\u7cbe\u7b80\u548c\u9a8c\u6536\u7684\u6837\u672c\u6587\u4ef6\u3002\u793a\u4f8b\u8981\u6c42\u81f3\u5c11\u4e24\u4e2a\u6837\u672c\uff0c\u5e76\u5c06\u7ec6\u80de\u524d\u7f00\u4e0e\u6837\u672c\u5217\u5728\u672c\u6279\u5185\u56fa\u5b9a\uff1b\u4e0d\u8986\u76d6\u539f\u8f93\u5165\u6587\u4ef6\u3002RNA\u4e4b\u5916\u7684\u6a21\u6001\u4e0e\u6a21\u578b\u4e0d\u5728\u6b64\u811a\u672c\u8303\u56f4\u3002<\/p>\n

library(Seurat)\nargs <- commandArgs(trailingOnly = TRUE)\nstopifnot(length(args) == 2L)\ntab <- read.csv(args[1], stringsAsFactors = FALSE)\nstopifnot(all(c("sample_id", "path") %in% names(tab)),\n          nrow(tab) >= 2L, !anyDuplicated(tab$sample_id))\nxs <- lapply(seq_len(nrow(tab)), function(i) {\n  x <- readRDS(tab$path[i])\n  x$sample_id <- tab$sample_id[i]\n  x\n})\nexpected <- sum(vapply(xs, ncol, integer(1)))\nout <- merge(xs[[1]], y = xs[-1], add.cell.ids = tab$sample_id,\n             merge.data = FALSE, merge.dr = FALSE)\nstopifnot(ncol(out) == expected, !anyDuplicated(colnames(out)))\nwrite.csv(as.data.frame(table(out$sample_id)),\n          paste0(args[2], ".samples.csv"), row.names = FALSE)\nsaveRDS(out, args[2])<\/code><\/pre>\n
mkdir -p logs batches\n\/usr\/bin\/time -v -o logs\/batch01.time.txt   Rscript merge_batch.R batch01.csv batches\/batch01.rds   >logs\/batch01.stdout.txt 2>logs\/batch01.stderr.txt<\/code><\/pre>\n
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\u6700\u7ec8\u5408\u5e76\u8981\u5355\u72ec\u8bd5\u8dd1<\/h2>\n
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