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基于AI快速开发一个生信工具最近，尝试用AI工具开发一些工具。分享下，利用Claude code+deepseek的组合，开发一个处理基因编辑产物突变的检测工具。工具的运行情况如下图，使用deepseek-v4-pro进行开发的。开发和测试完成，用了2.45元，消耗了19,876,891个tokens（将近2000万个tokens）。这个工具是一个综合性的针对基因编辑产物突变的检测工具，主要特点是引入了针对多倍体物种的突变分析，可以对多倍体的不同染色体的突变情况进行精准识别和分析。输出的结果如下图所示。deepseek用来做一些生信工具和代码处理工作，性价比挺高的。当然最重要的是你自己要知道想要获得一个什么东西，这样AI才能辅助你完成，实现你的想法。
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- 请求信息 : 2026-05-27 16:02:19 HTTP/1.1 GET : https://www.yeyulingfeng.com/a/671570.html
- 运行时间 : 0.086921s [ 吞吐率：11.50req/s ] 内存消耗：4,787.23kb 文件加载：145
- 缓存信息 : 0 reads,0 writes
- 会话信息 : SESSION_ID=f7d3c82bd1248b4a1115efeadb990a2f
- CONNECT:[ UseTime:0.000641s ] mysql:host=127.0.0.1;port=3306;dbname=wenku;charset=utf8mb4
- SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.000899s ]
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- SELECT * FROM `article` WHERE `id` = 671570 LIMIT 1 [ RunTime:0.000513s ]
- UPDATE `article` SET `lasttime` = 1779868939 WHERE `id` = 671570 [ RunTime:0.000827s ]
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