@pptdaily · Post #5 · 01/18/2019, 08:56 AM
vcftools基于的是使用bgzip压缩过的vcf.gz文件,还需要用tabix进行index。将多个vcf样本进行merge使用vcf-merge命令,将同一样本的不同vcf整合使用vcf-concat #vcf#vcftools#snp
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Source channel @githubtrending · Post #14896 · Jul 2
#python#ai#authentication#authorization#claude#cursor#fastapi#llm#mcp#mcp_server#mcp_servers#modelcontextprotocol#openapi#windsurf FastAPI-MCP is a tool that lets you easily turn your FastAPI web API endpoints into Model Context Protocol (MCP) tools, which AI agents can use directly. It requires almost no setup—just connect it to your FastAPI app, and it automatically preserves your request/response data models and documentation. It also includes built-in authentication using your existing FastAPI security methods. You can run the MCP server inside your app or separately, and it communicates efficiently using FastAPI’s ASGI interface. This makes it simple to integrate AI capabilities with your existing FastAPI services without rewriting code, saving you time and effort while keeping your API secure and well-documented[1][5]. https://github.com/tadata-org/fastapi_mcp
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@pptdaily · Post #5 · 01/18/2019, 08:56 AM
vcftools基于的是使用bgzip压缩过的vcf.gz文件,还需要用tabix进行index。将多个vcf样本进行merge使用vcf-merge命令,将同一样本的不同vcf整合使用vcf-concat #vcf#vcftools#snp