{"id":65468,"date":"2026-09-12T21:57:26","date_gmt":"2026-09-12T13:57:26","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=65468"},"modified":"2026-09-12T21:57:26","modified_gmt":"2026-09-12T13:57:26","slug":"wgs-mitogenome-data-reuse","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/wgs-mitogenome-data-reuse\/","title":{"rendered":"\u5df2\u6709\u5168\u57fa\u56e0\u7ec4\u6570\u636e\uff0c\u8fd8\u80fd\u56de\u7b54\u4ec0\u4e48\u65b0\u95ee\u9898\uff1f\u4e00\u6b21\u7ebf\u7c92\u4f53\u6570\u636e\u590d\u7528\u7814\u7a76\u7684\u542f\u793a"},"content":{"rendered":"<p>\u4e00\u6279\u5168\u57fa\u56e0\u7ec4\u6d4b\u5e8f\u6570\u636e\u5df2\u7ecf\u5b8c\u6210 SNP \u68c0\u6d4b\u6216\u7fa4\u4f53\u5206\u6790\uff0c\u539f\u59cb FASTQ \u968f\u540e\u8fdb\u5165\u5f52\u6863\u3002\u8fd9\u65f6\uff0c\u5982\u679c\u7814\u7a76\u95ee\u9898\u53d8\u6210\u201c\u6837\u672c\u4e4b\u95f4\u7684\u6bcd\u7cfb\u8c31\u7cfb\u6709\u4ec0\u4e48\u5dee\u5f02\u201d\uff0c\u6216\u8005\u201c\u73b0\u6709\u6807\u8bb0\u662f\u5426\u8db3\u4ee5\u533a\u5206\u6750\u6599\u201d\uff0c\u4e0b\u4e00\u6b65\u672a\u5fc5\u9700\u8981\u7acb\u5373\u91cd\u65b0\u9001\u6837\u3002<\/p>\n<p><strong>\u66f4\u503c\u5f97\u5148\u505a\u7684\u662f\u6570\u636e\u53ef\u884c\u6027\u8bc4\u4f30\uff1a\u65e7\u6570\u636e\u4e2d\u6709\u6ca1\u6709\u8db3\u591f\u7684\u76ee\u6807\u4fe1\u53f7\uff0c\u80fd\u5426\u5f62\u6210\u53ef\u4fe1\u7684\u65b0\u7ed3\u679c\uff0c\u4ee5\u53ca\u7ee7\u7eed\u5206\u6790\u7684\u6210\u672c\u662f\u5426\u5408\u7406\u3002<\/strong> \u672c\u6587\u4ee5\u4e00\u9879\u86d4\u866b\u7ebf\u7c92\u4f53\u7814\u7a76\u4e3a\u8d77\u70b9\uff0c\u8ba8\u8bba\u53ef\u590d\u7528\u7684\u65b9\u6cd5\uff0c\u7ed9\u51fa\u539f\u521b\u4ee3\u7801\u793a\u4f8b\uff0c\u5e76\u8bf4\u660e\u54ea\u4e9b\u7ed3\u8bba\u9700\u8981\u989d\u5916\u8bc1\u636e\u3002<\/p>\n<h2>\u8fd9\u9879\u7814\u7a76\u63d0\u4f9b\u4e86\u4ec0\u4e48\u8bc1\u636e<\/h2>\n<p>Woolfe \u7b49\u5728 <em>Scientific Reports<\/em> \u53d1\u8868\u7684\u7814\u7a76\uff0c\u5bf9 149 \u4efd\u86d4\u866b WGS \u6570\u636e\u6bd4\u8f83\u56db\u79cd\u5904\u7406\u8def\u7ebf\uff0c\u518d\u8fdb\u884c\u7ebf\u7c92\u4f53\u7ec4\u88c5\u3002\u6309\u6587\u4e2d\u201c\u5355\u6761 contig \u542b\u5168\u90e8 12 \u4e2a\u86cb\u767d\u7f16\u7801\u57fa\u56e0\u201d\u7684\u53e3\u5f84\uff0c\u7ed3\u679c\u5982\u4e0b\uff1a<a href=\"https:\/\/www.nature.com\/articles\/s41598-026-65562-w\">\u7814\u7a76\u539f\u6587<\/a>\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u5904\u7406\u8def\u7ebf<\/th>\n<th style=\"text-align:right\">\u5b8c\u6574\u7ec4\u88c5\u6570<\/th>\n<th style=\"text-align:right\">\u5360 149 \u4efd\u8f93\u5165<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u76f4\u63a5\u7ec4\u88c5<\/td>\n<td style=\"text-align:right\">142<\/td>\n<td style=\"text-align:right\">95.3%<\/td>\n<\/tr>\n<tr>\n<td>Bowtie2 \u53bb\u5bbf\u4e3b<\/td>\n<td style=\"text-align:right\">144<\/td>\n<td style=\"text-align:right\">96.6%<\/td>\n<\/tr>\n<tr>\n<td>Deacon \u53bb\u5bbf\u4e3b<\/td>\n<td style=\"text-align:right\">146<\/td>\n<td style=\"text-align:right\">98.0%<\/td>\n<\/tr>\n<tr>\n<td>Deacon \u7ebf\u7c92\u4f53\u5e8f\u5217\u5bcc\u96c6<\/td>\n<td style=\"text-align:right\">142<\/td>\n<td style=\"text-align:right\">95.3%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u4e9b\u767e\u5206\u6bd4\u7531\u539f\u6587\u8ba1\u6570\u6362\u7b97\uff0c<strong>\u4e0d\u662f\u901a\u7528\u6210\u529f\u7387<\/strong>\u3002\u7814\u7a76\u8bc6\u522b\u51fa\u65b0\u7684\u7ebf\u7c92\u4f53\u5206\u652f D\uff1b\u4f46\u5e76\u975e 149 \u4efd\u6570\u636e\u90fd\u81ea\u52a8\u5f97\u5230\u65e0\u7f3a\u53e3\u7ed3\u679c\uff0c\u5176\u4e2d\u4e00\u4efd\u7ecf\u8fc7\u4eba\u5de5\u5904\u7406\u4ecd\u6709\u7f3a\u53e3\u3002\u539f\u59cb reads \u56de\u8d34\u68c0\u67e5\u8986\u76d6\u7684\u662f\u5176\u4e2d 30 \u4efd\u3002\u8bba\u6587\u4e5f\u6ca1\u6709\u7ed9\u51fa\u9002\u7528\u4e8e\u5176\u4ed6\u9879\u76ee\u7684\u56fa\u5b9a\u8282\u7701\u6bd4\u4f8b\u3002<a href=\"https:\/\/www.nature.com\/articles\/s41598-026-65562-w\">\u65b9\u6cd5\u4e0e\u7ed3\u679c\u8bf4\u660e<\/a><\/p>\n<h2>\u4ece\u201c\u518d\u51fa\u4e00\u5f20\u56fe\u201d\u8f6c\u5411\u4e00\u4e2a\u660e\u786e\u7684\u65b0\u95ee\u9898<\/h2>\n<p>\u6570\u636e\u590d\u7528\u7684\u4ef7\u503c\u53d6\u51b3\u4e8e\u5b83\u80fd\u8865\u4e0a\u54ea\u4e00\u6bb5\u8bc1\u636e\u3002\u9488\u5bf9\u5df2\u7ecf\u6301\u6709\u52a8\u7269\u6216\u5bc4\u751f\u866b WGS \u7684\u56e2\u961f\uff0c\u53ef\u4ee5\u5148\u628a\u95ee\u9898\u62c6\u6210\u4ee5\u4e0b\u51e0\u7c7b\uff1b\u8fd9\u662f\u9879\u76ee\u8bbe\u8ba1\u5efa\u8bae\uff0c\u4e0d\u4ee3\u8868\u539f\u8bba\u6587\u9010\u4e00\u9a8c\u8bc1\u4e86\u8fd9\u4e9b\u5e94\u7528\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u4f60\u60f3\u56de\u7b54\u7684\u95ee\u9898<\/th>\n<th>\u53ef\u80fd\u589e\u52a0\u7684\u5206\u6790<\/th>\n<th>\u9700\u8981\u540c\u65f6\u5177\u5907\u4ec0\u4e48<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u6837\u672c\u662f\u5426\u5b58\u5728\u4e0d\u540c\u6bcd\u7cfb\u8c31\u7cfb\uff1f<\/td>\n<td>\u5019\u9009\u7ebf\u7c92\u4f53\u5e8f\u5217\u3001\u53ef\u9760\u4f4d\u70b9\u6bd4\u5bf9\u4e0e\u7cfb\u7edf\u53d1\u80b2\u5206\u6790<\/td>\n<td>\u8db3\u591f\u76ee\u6807 reads\u3001\u5408\u9002\u53c2\u8003\u548c\u6837\u672c\u6765\u6e90\u8bb0\u5f55<\/td>\n<\/tr>\n<tr>\n<td>\u6750\u6599\u6807\u7b7e\u6216\u5206\u7ec4\u662f\u5426\u503c\u5f97\u590d\u6838\uff1f<\/td>\n<td>\u5e8f\u5217\u5173\u7cfb\u4e0e\u91c7\u6837\u53f0\u8d26\u4ea4\u53c9\u68c0\u67e5<\/td>\n<td>\u7269\u79cd\u3001\u5730\u70b9\u3001\u5bbf\u4e3b\u6216\u6279\u6b21\u7b49\u5143\u6570\u636e<\/td>\n<\/tr>\n<tr>\n<td>\u76ee\u524d\u4f7f\u7528\u7684\u5355\u4e2a\u6807\u8bb0\u662f\u5426\u4fe1\u606f\u6709\u9650\uff1f<\/td>\n<td>\u6bd4\u8f83\u5355\u6807\u8bb0\u4e0e\u591a\u57fa\u56e0\u7ed3\u679c\u7684\u4e00\u81f4\u6027<\/td>\n<td>\u53ef\u6bd4\u8f83\u7684\u540c\u6e90\u533a\u57df\u4e0e\u4e00\u81f4\u7684\u8fc7\u6ee4\u53e3\u5f84<\/td>\n<\/tr>\n<tr>\n<td>\u6838\u57fa\u56e0\u7ec4\u548c\u7ebf\u7c92\u4f53\u4fe1\u53f7\u4e3a\u4f55\u4e0d\u540c\uff1f<\/td>\n<td>\u6838\u4e0e\u7ebf\u7c92\u4f53\u8bc1\u636e\u7684\u8054\u5408\u68c0\u67e5<\/td>\n<td>\u6838\u6570\u636e\u8d28\u91cf\u548c\u53ef\u652f\u6301\u8be5\u95ee\u9898\u7684\u91c7\u6837\u8bbe\u8ba1<\/td>\n<\/tr>\n<tr>\n<td>\u65e7\u6570\u636e\u503c\u5f97\u7ee7\u7eed\u505a\uff0c\u8fd8\u662f\u9700\u8981\u8865\u5b9e\u9a8c\uff1f<\/td>\n<td>\u4ee3\u8868\u6027\u6837\u672c\u8bd5\u505a\u4e0e\u6210\u672c\u6838\u7b97<\/td>\n<td>\u9884\u5148\u5b9a\u4e49\u7684\u5408\u683c\u6761\u4ef6\u3001\u5de5\u65f6\u548c\u65b0\u589e\u5b9e\u9a8c\u6210\u672c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u4e9b\u5206\u6790\u4e0d\u80fd\u76f4\u63a5\u66ff\u4ee3\u7269\u79cd\u754c\u5b9a\u3001\u771f\u5b9e\u4f20\u64ad\u94fe\u8ffd\u8e2a\u6216\u4e34\u5e8a\u8bca\u65ad\u3002\u4e00\u4e2a\u7ebf\u7c92\u4f53\u805a\u7c7b\u9996\u5148\u8bf4\u660e\u5e8f\u5217\u5173\u7cfb\uff1b\u628a\u5b83\u89e3\u91ca\u4e3a\u5bbf\u4e3b\u95f4\u4f20\u64ad\u3001\u6742\u4ea4\u6216\u72ec\u7acb\u7269\u79cd\uff0c\u8fd8\u9700\u8981\u6838\u57fa\u56e0\u7ec4\u3001\u6d41\u884c\u75c5\u5b66\u6216\u5176\u4ed6\u72ec\u7acb\u8bc1\u636e\u3002<\/p>\n<h2>\u53ef\u590d\u7528\u7684\u6280\u672f\u4eae\u70b9\uff1a\u628a\u6d41\u7a0b\u53d8\u6210\u53ef\u4ee5\u6bd4\u8f83\u7684\u65b9\u6848<\/h2>\n<p><strong>\u4eae\u70b9\u4e00\uff1a\u5148\u6838\u67e5\u8f93\u5165\uff0c\u907f\u514d\u5bf9\u7740\u7ed3\u679c\u8868\u5bfb\u627e\u5df2\u7ecf\u4e22\u5931\u7684\u5e8f\u5217\u3002<\/strong> MitoZ \u7684\u65b9\u6cd5\u7814\u7a76\u8868\u660e\uff0c\u52a8\u7269\u5168\u57fa\u56e0\u7ec4 shotgun reads \u53ef\u4ee5\u7528\u4e8e\u7ebf\u7c92\u4f53\u7ec4\u88c5\uff0c\u4f46\u516c\u5171\u6570\u636e\u4e5f\u53ef\u80fd\u4e8b\u5148\u79fb\u9664\u4e86\u7ebf\u7c92\u4f53 reads\u3002\u56e0\u6b64\uff0c\u201c\u505a\u8fc7 WGS\u201d\u4e0d\u7b49\u4e8e\u201c\u73b0\u5728\u4ea4\u5230\u624b\u4e0a\u7684\u6587\u4ef6\u4ecd\u4fdd\u7559\u76ee\u6807\u4fe1\u606f\u201d\u3002\u53ea\u6709 SNP \u8868\u6216\u8fc7\u6ee4\u540e\u7684 VCF\uff0c\u901a\u5e38\u4e0d\u80fd\u66ff\u4ee3\u539f\u59cb reads \u5b8c\u6210\u8fd9\u91cc\u8ba8\u8bba\u7684\u7ec4\u88c5\u4efb\u52a1\u3002<a href=\"https:\/\/academic.oup.com\/nar\/article\/47\/11\/e63\/5377471\">MitoZ \u65b9\u6cd5\u8bba\u6587<\/a><\/p>\n<p><strong>\u4eae\u70b9\u4e8c\uff1a\u4fdd\u7559\u76f4\u63a5\u5206\u6790\u7684\u57fa\u7ebf\uff0c\u68c0\u67e5\u989d\u5916\u6b65\u9aa4\u662f\u5426\u771f\u6b63\u6709\u7528\u3002<\/strong> \u53bb\u5bbf\u4e3b\u3001\u76ee\u6807\u5bcc\u96c6\u548c\u53c2\u6570\u8c03\u6574\u90fd\u589e\u52a0\u4e86\u5904\u7406\u73af\u8282\u3002\u53ef\u4ee5\u5bf9\u540c\u4e00\u7ec4\u4ee3\u8868\u6027\u6570\u636e\u6bd4\u8f83\u5019\u9009\u8def\u7ebf\uff0c\u800c\u4e0d\u662f\u5148\u5047\u5b9a\u590d\u6742\u65b9\u6848\u4e00\u5b9a\u66f4\u4f18\u3002\u4f5c\u8005\u516c\u5f00\u4ed3\u5e93\u4e2d\u7684\u9884\u5904\u7406\u3001\u53bb\u5bbf\u4e3b\u3001\u7ec4\u88c5\u4e0e\u7ed8\u56fe\u4ee3\u7801\u53ef\u4ee5\u4f5c\u4e3a\u6d41\u7a0b\u6838\u5bf9\u5165\u53e3\uff1b\u5177\u4f53\u53c2\u6570\u4ecd\u9700\u4e0e\u6b63\u5f0f\u8bba\u6587\u53ca\u8f93\u5165\u8bfb\u957f\u5bf9\u5e94\u3002<a href=\"https:\/\/github.com\/LWoolfe\/Ascaris_Mitogenome_Project\">\u4f5c\u8005\u4ee3\u7801\u4ed3\u5e93<\/a><\/p>\n<p><strong>\u4eae\u70b9\u4e09\uff1a\u628a\u201c\u7a0b\u5e8f\u5b8c\u6210\u201d\u4e0e\u201c\u7ed3\u679c\u5408\u683c\u201d\u5206\u5f00\u3002<\/strong> \u6211\u4eec\u5efa\u8bae\u81f3\u5c11\u4fdd\u7559\u4ee5\u4e0b\u56db\u5c42\u9a8c\u6536\u8bb0\u5f55\uff1a<\/p>\n<ol>\n<li><strong>\u6570\u636e\u5c42\uff1a<\/strong> \u8bfb\u957f\u3001\u8d28\u91cf\u3001\u6709\u6548\u6570\u636e\u91cf\u53ca\u6837\u672c\u6807\u8bc6\u662f\u5426\u53ef\u9760\u3002<\/li>\n<li><strong>\u5e8f\u5217\u5c42\uff1a<\/strong> \u5019\u9009\u957f\u5ea6\u3001\u672a\u77e5\u78b1\u57fa\u3001\u5f02\u5e38\u91cd\u590d\u548c\u9884\u671f\u57fa\u56e0\u96c6\u5408\u662f\u5426\u5408\u7406\u3002<\/li>\n<li><strong>\u652f\u6301\u5c42\uff1a<\/strong> reads \u662f\u5426\u8986\u76d6\u5019\u9009\u5e8f\u5217\uff0c\u4f4e\u8986\u76d6\u533a\u57df\u3001\u63a5\u5934\u9644\u8fd1\u548c\u51b2\u7a81\u4f4d\u70b9\u662f\u5426\u9700\u8981\u68c0\u67e5\u3002<\/li>\n<li><strong>\u89e3\u91ca\u5c42\uff1a<\/strong> \u4e0d\u540c\u5206\u6790\u53e3\u5f84\u662f\u5426\u7ed9\u51fa\u4e00\u81f4\u7ed3\u8bba\uff1b\u5143\u6570\u636e\u662f\u5426\u8db3\u4ee5\u652f\u6301\u751f\u7269\u5b66\u89e3\u91ca\u3002<\/li>\n<\/ol>\n<p>\u8fd9\u5957\u9a8c\u6536\u8868\u6bd4\u201c\u67d0\u4e2a\u8f6f\u4ef6\u8fd0\u884c\u6210\u529f\u201d\u66f4\u9002\u5408\u53d8\u6210\u53ef\u4ea4\u4ed8\u7684\u670d\u52a1\u3002\u5b83\u4e5f\u65b9\u4fbf\u628a\u4e0d\u540c\u8def\u7ebf\u7684\u7ed3\u679c\u653e\u5728\u540c\u4e00\u5c3a\u5ea6\u4e0a\u6bd4\u8f83\u3002<\/p>\n<h2>\u4ee3\u7801\u793a\u4f8b\uff1a\u68c0\u67e5\u4e00\u4e2a\u5df2\u7ecf\u7ec4\u88c5\u51fa\u7684\u5019\u9009\u5e8f\u5217<\/h2>\n<p>\u4e0b\u9762\u7ed9\u51fa\u4e00\u6bb5\u72ec\u7acb\u7f16\u5199\u7684 Linux\/Bash \u793a\u4f8b\uff0c\u4f7f\u7528\u53cc\u7aef\u77ed\u8bfb\u957f FASTQ \u548c<strong>\u5df2\u7ecf\u5f97\u5230\u7684\u5019\u9009\u7ebf\u7c92\u4f53 FASTA<\/strong>\u3002\u5b83\u5b8c\u6210\u8d28\u63a7\u3001\u56de\u8d34\u548c\u8986\u76d6\u5ea6\u6c47\u603b\uff0c<strong>\u4e0d\u5305\u542b\u7ec4\u88c5\u6b65\u9aa4<\/strong>\uff0c\u4e5f\u4e0d\u662f\u539f\u8bba\u6587\u7684\u5b8c\u6574\u590d\u73b0\u3002<\/p>\n<p>\u5148\u5c06 <code>mt_depth_summary.py<\/code> \u653e\u5728\u5de5\u4f5c\u76ee\u5f55\uff0c\u51c6\u5907 <code>sample.R1.fq.gz<\/code>\u3001<code>sample.R2.fq.gz<\/code> \u548c <code>candidate.fa<\/code>\u3002\u9700\u8981\u5df2\u5b89\u88c5 fastp\u3001Bowtie2\u3001Python 3\uff0c\u4ee5\u53ca <strong>SAMtools 1.13 \u6216\u66f4\u9ad8\u7248\u672c<\/strong>\uff1b\u5b9e\u9645\u9879\u76ee\u5e94\u56fa\u5b9a\u5e76\u8bb0\u5f55\u5177\u4f53\u7248\u672c\u3002\u4e3a\u4e86\u4fbf\u4e8e\u9605\u8bfb\uff0c\u4e0b\u65b9\u5c55\u793a\u4e3b\u8981\u547d\u4ee4\uff1b<a href=\"https:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2026\/09\/wgs-mitogenome-pilot-code.zip\">\u5b8c\u6574\u4ee3\u7801\u5305<\/a>\u4e2d\u7684 <code>check_candidate.sh<\/code> \u53e6\u6709\u8f93\u5165\u548c\u7248\u672c\u68c0\u67e5\u3002<\/p>\n<pre><code class=\"language-bash\">set -euo pipefail\n\n# \u4f7f\u7528\u4e00\u4e2a\u4e0d\u5b58\u5728\u7684\u65b0\u76ee\u5f55\uff0c\u907f\u514d\u8986\u76d6\u4e4b\u524d\u7684\u7ed3\u679c\u3002\nout=mt_pilot\nmkdir &quot;$out&quot;\n\nfastp -i sample.R1.fq.gz -I sample.R2.fq.gz \\\n  -o &quot;$out\/clean.R1.fq.gz&quot; -O &quot;$out\/clean.R2.fq.gz&quot; \\\n  --detect_adapter_for_pe --thread 4 \\\n  --html &quot;$out\/fastp.html&quot; --json &quot;$out\/fastp.json&quot;\n\ncp candidate.fa &quot;$out\/candidate.fa&quot;\nsamtools faidx &quot;$out\/candidate.fa&quot;\nbowtie2-build &quot;$out\/candidate.fa&quot; &quot;$out\/mt_index&quot;\n\nbowtie2 --very-sensitive -p 4 -x &quot;$out\/mt_index&quot; \\\n  -1 &quot;$out\/clean.R1.fq.gz&quot; -2 &quot;$out\/clean.R2.fq.gz&quot; \\\n  2&gt;&quot;$out\/map.log&quot; \\\n  | samtools view -u -F 2308 - \\\n  | samtools sort -@ 2 -o &quot;$out\/mapped.bam&quot; -\n\nsamtools index &quot;$out\/mapped.bam&quot;\nsamtools depth -aa -s -q 20 -Q 20 \\\n  &quot;$out\/mapped.bam&quot; &gt;&quot;$out\/depth.tsv&quot;\n\npython3 mt_depth_summary.py \\\n  &quot;$out\/candidate.fa.fai&quot; &quot;$out\/depth.tsv&quot; \\\n  &gt;&quot;$out\/coverage_summary.tsv&quot;\n<\/code><\/pre>\n<p>fastp \u7684\u53cc\u7aef\u8f93\u5165\u3001\u63a5\u5934\u68c0\u6d4b\u53ca HTML\/JSON \u62a5\u544a\u53c2\u6570\u53c2\u89c1<a href=\"https:\/\/github.com\/OpenGene\/fastp\">\u5b98\u65b9\u8bf4\u660e<\/a>\uff1bBowtie2 \u7684 <code>--very-sensitive<\/code> \u662f\u6bd4\u5bf9\u654f\u611f\u6027\u9884\u8bbe\uff0c\u5e76\u4e0d\u610f\u5473\u7740\u7ed3\u679c\u4e00\u5b9a\u771f\u5b9e\u3002<a href=\"https:\/\/bowtie-bio.sourceforge.net\/bowtie2\/manual.shtml\">Bowtie2 \u624b\u518c<\/a><\/p>\n<p>\u8fd9\u91cc\u6709\u51e0\u4e2a\u5f71\u54cd\u7ed3\u679c\u53e3\u5f84\u7684\u7ec6\u8282\uff1a<\/p>\n<ul>\n<li><code>-F 2308<\/code> \u6392\u9664\u672a\u6bd4\u5bf9\u3001\u6b21\u7ea7\u548c\u8865\u5145\u6bd4\u5bf9\u8bb0\u5f55\uff1b\u8986\u76d6\u7edf\u8ba1\u4ecd\u4f1a\u53d7\u5230\u6bd4\u5bf9\u8f6f\u4ef6\u5982\u4f55\u9009\u62e9\u4e3b\u6bd4\u5bf9\u7684\u5f71\u54cd\u3002<\/li>\n<li><code>depth -aa<\/code> \u4fdd\u7559\u6240\u6709\u53c2\u8003\u4f4d\u7f6e\uff0c\u5305\u542b\u5b8c\u5168\u6ca1\u6709 reads \u7684\u5e8f\u5217\u3002\u5982\u679c\u53ea\u7edf\u8ba1\u6709\u8986\u76d6\u7684\u4f4d\u7f6e\uff0c\u5e73\u5747\u6df1\u5ea6\u548c\u8986\u76d6\u5e7f\u5ea6\u53ef\u80fd\u88ab\u9ad8\u4f30\u3002<\/li>\n<li><code>-s<\/code> \u51cf\u5c11\u540c\u4e00\u5bf9 reads \u91cd\u53e0\u533a\u7684\u91cd\u590d\u8ba1\u6570\uff1b\u5b83\u4e0d\u662f PCR \u53bb\u91cd\u3002<\/li>\n<li>\u5728 <code>samtools depth<\/code> \u4e2d\uff0c<code>-q<\/code> \u662f\u6700\u4f4e\u78b1\u57fa\u8d28\u91cf\uff0c<code>-Q<\/code> \u662f\u6700\u4f4e\u6bd4\u5bf9\u8d28\u91cf\u3002\u793a\u4f8b\u4e2d\u7684 20 \u662f\u6f14\u793a\u53c2\u6570\uff0c\u9700\u8981\u6309\u6570\u636e\u8c03\u6574\uff1b\u4e0d\u8981\u4e0e <code>mpileup<\/code> \u7684\u540c\u540d\u5b57\u6bcd\u53c2\u6570\u6df7\u7528\u3002<a href=\"https:\/\/www.htslib.org\/doc\/samtools-depth.html\">SAMtools depth \u624b\u518c<\/a><\/li>\n<\/ul>\n<h3>\u7528 Python \u68c0\u67e5\u5206\u6bcd\uff0c\u800c\u4e0d\u53ea\u662f\u6c42\u5e73\u5747\u6570<\/h3>\n<p>\u4e0b\u9762\u662f\u4ee3\u7801\u5305\u4e2d\u7684\u5b8c\u6574\u8986\u76d6\u7edf\u8ba1\u811a\u672c\u3002\u5b83\u8981\u6c42\u5355\u4e2a BAM \u7684\u4e09\u5217 <code>depth -aa<\/code> \u8f93\u51fa\uff0c\u5e76\u7528 FASTA \u7d22\u5f15\u6838\u5bf9\u6bcf\u4e2a contig \u7684\u4f4d\u7f6e\u6570\u3002\u7f3a\u5c11\u96f6\u8986\u76d6\u4f4d\u7f6e\u3001\u91cd\u590d\u4f4d\u7f6e\u6216\u610f\u5916\u8f93\u5165\u591a\u4e2a BAM \u65f6\u4f1a\u62a5\u9519\uff0c\u4e0d\u4f1a\u6084\u6084\u7ed9\u51fa\u504f\u9ad8\u7ed3\u679c\u3002<\/p>\n<pre><code class=\"language-python\">#!\/usr\/bin\/env python3\n&quot;&quot;&quot;Summarize ONE BAM's samtools depth -aa output; not an assembly validator.&quot;&quot;&quot;\nimport argparse\nimport csv\nimport sys\n\n\ndef summarize(fai_path, depth_path):\n    lengths = {}\n    with open(fai_path, encoding=&quot;utf-8&quot;) as handle:\n        for line in handle:\n            fields = line.rstrip(&quot;\\n&quot;).split(&quot;\\t&quot;)\n            if len(fields) &lt; 2:\n                raise ValueError(&quot;Invalid FASTA index row&quot;)\n            name, length = fields[0], int(fields[1])\n            if not name or name in lengths or length &lt;= 0:\n                raise ValueError(&quot;Empty\/duplicate reference name or invalid length&quot;)\n            lengths[name] = length\n    if not lengths:\n        raise ValueError(&quot;Empty FASTA index&quot;)\n    # count, depth sum, bases &gt;=1x, bases &gt;=10x\n    stats = {name: [0, 0, 0, 0] for name in lengths}\n    with open(depth_path, encoding=&quot;utf-8&quot;) as handle:\n        for line in handle:\n            fields = line.rstrip(&quot;\\n&quot;).split(&quot;\\t&quot;)\n            if len(fields) != 3:\n                raise ValueError(&quot;Expected CHROM, POS, DEPTH for exactly one BAM&quot;)\n            name, pos, depth = fields[0], int(fields[1]), int(fields[2])\n            if name not in stats:\n                raise ValueError(&quot;Reference absent from FASTA index: &quot; + name)\n            row = stats[name]\n            if pos != row[0] + 1 or pos &gt; lengths[name] or depth &lt; 0:\n                raise ValueError(&quot;Missing, repeated, unordered, or invalid position&quot;)\n            row[0] += 1\n            row[1] += depth\n            row[2] += depth &gt;= 1\n            row[3] += depth &gt;= 10\n    result = []\n    for name, length in lengths.items():\n        count, total, covered, covered10 = stats[name]\n        if count != length:\n            raise ValueError(&quot;Incomplete positions: use depth -aa without a region filter&quot;)\n        result.append((name, length, total \/ length,\n                       100 * covered \/ length, 100 * covered10 \/ length))\n    return result\n\n\ndef main():\n    parser = argparse.ArgumentParser(description=__doc__)\n    parser.add_argument(&quot;fai&quot;, help=&quot;Index of exactly the candidate reference used for mapping&quot;)\n    parser.add_argument(&quot;depth&quot;, help=&quot;Three-column depth -aa output for one BAM&quot;)\n    args = parser.parse_args()\n    try:\n        rows = summarize(args.fai, args.depth)\n    except (OSError, ValueError) as exc:\n        parser.error(str(exc))\n    writer = csv.writer(sys.stdout, delimiter=&quot;\\t&quot;, lineterminator=&quot;\\n&quot;)\n    writer.writerow([&quot;contig&quot;, &quot;length_bp&quot;, &quot;mean_depth&quot;, &quot;breadth_1x_pct&quot;, &quot;breadth_10x_pct&quot;])\n    for name, length, mean, one, ten in rows:\n        writer.writerow([name, length, f&quot;{mean:.3f}&quot;, f&quot;{one:.2f}&quot;, f&quot;{ten:.2f}&quot;])\n\n\nif __name__ == &quot;__main__&quot;:\n    main()\n<\/code><\/pre>\n<p>\u4f8b\u5982\uff0c\u4e00\u6761\u957f\u5ea6\u4e3a 4 bp \u7684\u6f14\u793a\u5e8f\u5217\uff0c\u9010\u4f4d\u70b9\u6df1\u5ea6\u662f <code>0\u300110\u300120\u30010<\/code>\uff0c\u5e73\u5747\u6df1\u5ea6\u5e94\u4e3a <strong>7.5\u00d7<\/strong>\uff0c\u81f3\u5c11 1\u00d7 \u548c\u81f3\u5c11 10\u00d7 \u7684\u8986\u76d6\u5e7f\u5ea6\u90fd\u4e3a <strong>50%<\/strong>\u3002\u5982\u679c\u628a\u4e24\u4e2a\u96f6\u503c\u4e22\u6389\uff0c\u5c31\u4f1a\u5f97\u5230\u8bef\u5bfc\u6027\u7684 15\u00d7 \u5747\u6df1\u548c 100% \u8986\u76d6\u3002\u8fd9\u91cc\u7684\u6f14\u793a\u5e8f\u5217\u662f\u5408\u6210\u6570\u636e\uff0c\u4e0d\u662f\u7814\u7a76\u6837\u672c\u3002<\/p>\n<p>\u811a\u672c\u53ea\u8f93\u51fa\u7edf\u8ba1\u91cf\uff0c\u4e0d\u7ed9\u51fa\u201c\u7ec4\u88c5\u901a\u8fc7\u201d\u7684\u81ea\u52a8\u5224\u5b9a\u3002<strong>10\u00d7 \u662f\u4e00\u4e2a\u6c47\u603b\u89c2\u5bdf\u70b9\uff0c\u4e0d\u662f\u672c\u9879\u76ee\u6216\u6240\u6709\u7269\u79cd\u7684\u5408\u683c\u9608\u503c\u3002<\/strong> \u968f\u5305\u6d4b\u8bd5\u8986\u76d6\u96f6\u503c\u5206\u6bcd\u3001\u5b8c\u5168\u65e0\u8986\u76d6\u7684 contig\u3001\u7f3a\u5931\u4f4d\u7f6e\u3001\u91cd\u590d\u4f4d\u7f6e\u548c\u591a BAM \u8bef\u8f93\u5165\u3002\u4e0a\u8ff0\u4e94\u9879\u5408\u6210\u6570\u636e\u6d4b\u8bd5\u5df2\u901a\u8fc7\uff1b\u672c\u6587\u6ca1\u6709\u5bf9\u539f\u8bba\u6587 149 \u4efd\u6837\u672c\u505a\u72ec\u7acb\u590d\u73b0\uff0c\u4e5f\u6ca1\u6709\u5ba3\u79f0\u5df2\u5b8c\u6210 fastp\u2014Bowtie2 \u5168\u6d41\u7a0b\u7684\u771f\u5b9e\u6837\u672c\u9a8c\u8bc1\u3002<\/p>\n<h2>\u4e0d\u8db3\u4e0e\u8fb9\u754c\uff1a\u54ea\u4e9b\u5730\u65b9\u4ecd\u9700\u8981\u4e13\u4e1a\u5224\u65ad<\/h2>\n<p><strong>\u5019\u9009\u5e8f\u5217\u80fd\u88ab reads \u8986\u76d6\uff0c\u4e0d\u7b49\u4e8e\u5b83\u4e00\u5b9a\u6765\u81ea\u771f\u5b9e\u7ebf\u7c92\u4f53\u3002<\/strong> \u6838\u57fa\u56e0\u7ec4\u4e2d\u7684\u7ebf\u7c92\u4f53\u6765\u6e90\u7247\u6bb5\uff08NUMTs\uff09\u548c\u6c61\u67d3\u5e8f\u5217\u90fd\u53ef\u80fd\u5e72\u6270\u5224\u65ad\u3002MitoZ \u7684\u65b9\u6cd5\u8bbe\u8ba1\u4e5f\u5305\u542b\u5bf9\u8fd9\u7c7b\u5047\u9633\u6027\u7684\u5904\u7406\u3002\u4e0a\u9762\u7684\u793a\u4f8b\u53ea\u5411\u5019\u9009 FASTA \u56de\u8d34\uff0c\u4e0d\u80fd\u72ec\u7acb\u6392\u9664 NUMTs\uff1b\u5fc5\u8981\u65f6\u9700\u8981\u8054\u5408\u6838\u53c2\u8003\u3001\u5019\u9009\u7ed3\u6784\u3001\u57fa\u56e0\u5b8c\u6574\u6027\u548c\u5176\u4ed6\u8bc1\u636e\u590d\u6838\u3002<a href=\"https:\/\/academic.oup.com\/nar\/article\/47\/11\/e63\/5377471\">MitoZ \u65b9\u6cd5\u8bba\u6587<\/a><\/p>\n<p><strong>\u4e00\u4e2a\u9ad8\u5747\u6df1\u4e0d\u80fd\u906e\u4f4f\u5c40\u90e8\u7f3a\u53e3\u3002<\/strong> \u5e94\u67e5\u770b\u9010\u4f4d\u70b9\u8986\u76d6\u3001\u4f4e\u8d28\u91cf\u533a\u548c\u51b2\u7a81\u4f4d\u70b9\u3002\u7ebf\u6027\u8868\u793a\u7684\u5019\u9009\u5e8f\u5217\u4e24\u7aef\u8fd8\u53ef\u80fd\u53d7\u6bd4\u5bf9\u8fb9\u754c\u5f71\u54cd\uff1b\u8981\u5224\u65ad\u73af\u5316\uff0c\u9700\u4e13\u95e8\u68c0\u67e5\u8de8\u63a5\u5934\u652f\u6301\uff0c\u4e0d\u80fd\u4ec5\u56e0\u4e3a FASTA \u53ea\u6709\u4e00\u6761\u5e8f\u5217\u5c31\u79f0\u5176\u4e3a\u95ed\u5408\u73af\u72b6\u57fa\u56e0\u7ec4\u3002<\/p>\n<p><strong>\u76ee\u6807\u5bcc\u96c6\u53ef\u80fd\u6539\u53d8\u4f60\u770b\u89c1\u7684\u591a\u6837\u6027\u3002<\/strong> \u5982\u679c\u8fc7\u6ee4\u5e93\u79bb\u771f\u5b9e\u8c31\u7cfb\u8f83\u8fdc\uff0c\u4e25\u683c\u5339\u914d\u53ef\u80fd\u4e22\u5931\u6709\u7528 reads\u3002\u8fd9\u662f\u9009\u62e9\u5bcc\u96c6\u7b56\u7565\u65f6\u9700\u8981\u68c0\u67e5\u7684\u6f5c\u5728\u504f\u5dee\uff0c\u53ef\u4ee5\u901a\u8fc7\u4fdd\u7559\u672a\u5bcc\u96c6\u57fa\u7ebf\u548c\u590d\u6838\u5f02\u5e38\u6837\u672c\u6765\u8bc4\u4f30\uff0c\u4e0d\u5e94\u5728\u672a\u6bd4\u8f83\u524d\u8ba4\u5b9a\u67d0\u6761\u8def\u7ebf\u66f4\u597d\u3002<\/p>\n<p><strong>\u52a8\u7269\u9879\u76ee\u7684\u53c2\u6570\u4e0d\u80fd\u76f4\u63a5\u642c\u5230\u690d\u7269\u6216\u5176\u4ed6\u6570\u636e\u7c7b\u578b\u3002<\/strong> \u5efa\u5e93\u65b9\u5f0f\u3001\u57fa\u56e0\u7ec4\u7ed3\u6784\u3001\u6ce8\u91ca\u6570\u636e\u5e93\u548c\u9057\u4f20\u5bc6\u7801\u8868\u90fd\u5e94\u4e0e\u7814\u7a76\u5bf9\u8c61\u5339\u914d\u3002MitoZ \u9762\u5411\u52a8\u7269\u7ebf\u7c92\u4f53\uff0c\u8fc1\u79fb\u65f6\u5e94\u6838\u5bf9\u5177\u4f53\u7248\u672c\u7684\u652f\u6301\u8303\u56f4\u3002<a href=\"https:\/\/github.com\/linzhi2013\/MitoZ\">MitoZ \u9879\u76ee\u8bf4\u660e<\/a><\/p>\n<p><strong>\u590d\u7528\u6570\u636e\u4ecd\u7136\u6709\u6210\u672c\u3002<\/strong> \u7b97\u529b\u3001\u4eba\u5de5\u6838\u67e5\u3001\u5931\u8d25\u91cd\u8bd5\u548c\u8865\u5145\u5b9e\u9a8c\u90fd\u5e94\u8ba1\u5165\u3002\u5bf9\u4e8e\u8def\u7ebf\u9009\u62e9\uff0c\u4e00\u4e2a\u5b9e\u7528\u6307\u6807\u662f\u201c\u65b0\u589e\u603b\u6210\u672c \u00f7 \u5408\u683c\u7ed3\u679c\u6570\u201d\uff0c\u5e76\u786e\u4fdd\u6240\u6709\u8def\u7ebf\u4f7f\u7528\u76f8\u540c\u9a8c\u6536\u6807\u51c6\u3002\u6ca1\u6709\u5408\u683c\u7ed3\u679c\u65f6\uff0c\u5e94\u62a5\u544a\u8bd5\u505a\u672a\u901a\u8fc7\uff0c\u800c\u4e0d\u662f\u7ed9\u51fa\u865a\u5047\u7684\u5355\u4f4d\u6210\u672c\u4f18\u52bf\u3002<\/p>\n<h2>\u5982\u4f55\u628a\u5b83\u505a\u6210\u4e00\u4e2a\u53ef\u4ea4\u4ed8\u7684\u5206\u6790\u9879\u76ee<\/h2>\n<p>\u5efa\u8bae\u5148\u4ece\u5c0f\u8303\u56f4\u8bc4\u4f30\u5f00\u59cb\uff0c\u518d\u51b3\u5b9a\u662f\u5426\u6279\u91cf\u63a8\u8fdb\u3002\u4ee5\u4e0b\u662f\u672c\u7c7b\u9700\u6c42\u53ef\u4ee5\u8ba8\u8bba\u7684\u4ea4\u4ed8\u8303\u56f4\uff0c\u4e0d\u662f\u5df2\u7ecf\u5b8c\u6210\u7684\u5ba2\u6237\u6848\u4f8b\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u9636\u6bb5<\/th>\n<th>\u91cd\u70b9\u5de5\u4f5c<\/th>\n<th>\u5ba2\u6237\u5e94\u62ff\u5230\u7684\u7ed3\u679c<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u6570\u636e\u8bc4\u4f30<\/td>\n<td>\u6838\u67e5\u6570\u636e\u7c7b\u578b\u3001\u6837\u672c\u4fe1\u606f\u548c\u76ee\u6807\u95ee\u9898<\/td>\n<td>\u53ef\u505a\u8303\u56f4\u3001\u9650\u5236\u3001\u662f\u5426\u9700\u8981\u8865\u8d44\u6599<\/td>\n<\/tr>\n<tr>\n<td>\u4ee3\u8868\u6027\u6837\u672c\u8bd5\u505a<\/td>\n<td>\u6bd4\u8f83\u57fa\u7ebf\u4e0e\u5019\u9009\u8def\u7ebf\uff0c\u8bb0\u5f55\u5931\u8d25\u539f\u56e0<\/td>\n<td>\u8d28\u91cf\u6307\u6807\u3001\u5f02\u5e38\u6837\u672c\u3001\u5de5\u65f6\u4e0e\u8d44\u6e90\u8bb0\u5f55<\/td>\n<\/tr>\n<tr>\n<td>\u6279\u91cf\u5206\u6790<\/td>\n<td>\u6309\u786e\u8ba4\u65b9\u6848\u8fdb\u884c\u7ec4\u88c5\u3001\u6ce8\u91ca\u53ca\u5fc5\u8981\u590d\u6838<\/td>\n<td>\u5e8f\u5217\u3001\u6ce8\u91ca\u3001\u8d28\u91cf\u62a5\u544a\u548c\u53ef\u8ffd\u8e2a\u7684\u5206\u6790\u8bb0\u5f55<\/td>\n<\/tr>\n<tr>\n<td>\u7ed3\u679c\u89e3\u91ca<\/td>\n<td>\u7ed3\u5408\u95ee\u9898\u7ec4\u7ec7\u8c31\u7cfb\u3001\u6807\u8bb0\u6216\u8054\u5408\u5206\u6790<\/td>\n<td>\u5173\u952e\u56fe\u8868\u3001\u7ed3\u8bba\u8fb9\u754c\u53ca\u540e\u7eed\u9a8c\u8bc1\u5efa\u8bae<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5982\u679c\u4f60\u5df2\u7ecf\u6709 WGS \u6570\u636e\uff0c\u5e0c\u671b\u5224\u65ad\u662f\u5426\u9002\u5408\u7ee7\u7eed\u6316\u6398\u7ebf\u7c92\u4f53\u6216\u5176\u4ed6\u751f\u7269\u5b66\u4fe1\u606f\uff0c\u53ef\u4ee5\u901a\u8fc7<a href=\"https:\/\/www.biocloudservice.com\/wordpress\/services\/\">\u4e91\u751f\u4fe1\u5b9a\u5236\u5206\u6790\u670d\u52a1<\/a>\u63d0\u4ea4\u9700\u6c42\u3002\u9996\u6b21\u6c9f\u901a\u5148\u51c6\u5907\u56db\u9879\u4fe1\u606f\uff1a<strong>\u7814\u7a76\u5bf9\u8c61\u4e0e\u6837\u672c\u6570\u3001\u6d4b\u5e8f\u5e73\u53f0\u548c\u5efa\u5e93\u65b9\u5f0f\u3001\u73b0\u6709\u6587\u4ef6\u7c7b\u578b\u3001\u6700\u5e0c\u671b\u89e3\u51b3\u7684\u4e00\u4e2a\u95ee\u9898<\/strong>\u3002\u5148\u63d0\u4ea4\u6570\u636e\u6982\u51b5\u5373\u53ef\uff0c\u539f\u59cb\u6570\u636e\u4f20\u8f93\u65b9\u5f0f\u548c\u5206\u6790\u8303\u56f4\u5728\u6c9f\u901a\u540e\u786e\u8ba4\u3002<\/p>\n<p>\u4e91\u751f\u4fe1\u63d0\u4f9b\u9700\u6c42\u8bc4\u4f30\u3001\u5206\u6790\u65b9\u6848\u4e0e\u4ea4\u4ed8\u8303\u56f4\u6c9f\u901a\uff1b\u5177\u4f53\u53ef\u884c\u6027\u3001\u5468\u671f\u548c\u8d39\u7528\u4ee5\u9879\u76ee\u8bc4\u4f30\u4e3a\u51c6\u3002\u80fd\u5426\u91cd\u5efa\u76ee\u6807\u5e8f\u5217\u3001\u5f97\u5230\u4ec0\u4e48\u7ed3\u8bba\uff0c\u9700\u8981\u7531\u4f60\u7684\u6570\u636e\u51b3\u5b9a\u3002<a href=\"https:\/\/www.biocloudservice.com\/wordpress\/services\/\">\u670d\u52a1\u8bf4\u660e<\/a><\/p>\n<h2>\u539f\u6587\u3001\u5de5\u5177\u4e0e\u4ee3\u7801<\/h2>\n<ul>\n<li>Woolfe L, et al. <em>Scalable assembly of Ascaris mitogenomes from whole-genome data reveals a novel clade<\/em>. Scientific Reports, 2026. <a href=\"https:\/\/doi.org\/10.1038\/s41598-026-65562-w\">DOI: 10.1038\/s41598-026-65562-w<\/a>\u3002<\/li>\n<li><a href=\"https:\/\/github.com\/LWoolfe\/Ascaris_Mitogenome_Project\">\u7814\u7a76\u4f5c\u8005\u7684\u6d41\u7a0b\u4ee3\u7801<\/a>\u3002<\/li>\n<li>Meng G, et al. <em>MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization<\/em>. Nucleic Acids Research, 2019. <a href=\"https:\/\/doi.org\/10.1093\/nar\/gkz173\">DOI: 10.1093\/nar\/gkz173<\/a>\u3002<\/li>\n<li><a href=\"https:\/\/github.com\/OpenGene\/fastp\">fastp \u5b98\u65b9\u6587\u6863<\/a>\u3001<a href=\"https:\/\/bowtie-bio.sourceforge.net\/bowtie2\/manual.shtml\">Bowtie2 \u5b98\u65b9\u624b\u518c<\/a>\u3001<a href=\"https:\/\/www.htslib.org\/doc\/samtools-depth.html\">SAMtools depth \u5b98\u65b9\u624b\u518c<\/a>\u3002<\/li>\n<li><a href=\"https:\/\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2026\/09\/wgs-mitogenome-pilot-code.zip\">\u4e0b\u8f7d\u672c\u6587\u539f\u521b\u4ee3\u7801\u4e0e\u5408\u6210\u6570\u636e\u6d4b\u8bd5<\/a>\u3002\u4ee3\u7801\u7528\u4e8e\u6559\u5b66\u548c\u65b9\u6848\u8bd5\u505a\uff0c\u4e0d\u66ff\u4ee3\u9488\u5bf9\u9879\u76ee\u7684\u6570\u636e\u9a8c\u8bc1\u3002<\/li>\n<\/ul>\n<p>\u672c\u6587\u4e3a\u6587\u732e\u6280\u672f\u89e3\u8bfb\u4e0e\u5de5\u7a0b\u793a\u4f8b\u3002\u8bba\u6587\u7ed3\u679c\u3001\u672c\u6587\u5efa\u8bae\u548c\u793a\u4f8b\u6d4b\u8bd5\u5df2\u5206\u522b\u6807\u660e\uff1b\u6587\u4e2d\u672a\u4f7f\u7528\u539f\u8bba\u6587\u56fe\u7247\uff0c\u4e5f\u672a\u5c06\u7814\u7a76\u56e2\u961f\u7ed3\u679c\u8868\u8ff0\u4e3a\u4e91\u751f\u4fe1\u5df2\u5b8c\u6210\u7684\u5ba2\u6237\u6210\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u65e2\u6709 WGS \u53ef\u80fd\u652f\u6301\u7ebf\u7c92\u4f53\u5206\u6790\uff0c\u4f46\u5e94\u5148\u8bc4\u4f30\u6570\u636e\u3001\u6bd4\u8f83\u5904\u7406\u8def\u7ebf\uff0c\u518d\u68c0\u67e5\u7ec4\u88c5\u4e0e\u89e3\u91ca\u8fb9\u754c\u3002\u672c\u6587\u63d0\u4f9b\u539f\u521b\u8d28\u63a7\u548c\u8986\u76d6\u7edf\u8ba1\u793a\u4f8b\uff0c\u5e2e\u52a9\u5224\u65ad\u662f\u5426\u503c\u5f97\u7ee7\u7eed\u5206\u6790\u3002<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":""},"categories":[50],"tags":[108,87,109,110],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/posts\/65468"}],"collection":[{"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/comments?post=65468"}],"version-history":[{"count":1,"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/posts\/65468\/revisions"}],"predecessor-version":[{"id":65470,"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/posts\/65468\/revisions\/65470"}],"wp:attachment":[{"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/media?parent=65468"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/categories?post=65468"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.biocloudservice.com\/wordpress\/wp-json\/wp\/v2\/tags?post=65468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}