Tiledbvcf
技能 已验证 活跃Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.
To enable researchers and bioinformaticians to efficiently manage and query large genomic variant datasets using the TileDB-VCF framework, streamlining population genomics analyses.
功能
- Scalable VCF/BCF ingestion
- Incremental sample addition
- Compressed storage
- Parallel querying of genomic regions and samples
- Data export to VCF and TSV formats
- Cloud storage integration (S3, Azure, GCS)
使用场景
- Building population genomics databases
- Performing genome-wide association studies (GWAS)
- Efficiently querying specific genomic regions across many samples
- Integrating new samples into existing variant datasets incrementally
- Exporting subsets of large VCF datasets for downstream analysis
非目标
- Direct execution of arbitrary C++ TileDB-VCF library functions not exposed through the Python or CLI interfaces
- Replacing comprehensive genome browsers or visualization tools
- Performing complex statistical modeling or machine learning directly on variant data (requires export to other tools)
Errors
- info:Actionable error messagesWhile the documentation mentions common pitfalls, it does not explicitly detail actionable error messages for every failure path, only general recovery steps.
安装
npx skills add K-Dense-AI/claude-scientific-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Alterlab Tiledbvcf
96Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics. Part of the AlterLab Academic Skills suite.
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