AL
数据与复现
alpha-vantage
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数据与复现
TI
tiledbvcf
维护者 Jeremy Leipzig · 最近更新 2026年4月1日
TileDB-VCF is a high-performance C++ library with Python and CLI interfaces for efficient storage and retrieval of genomic variant-call data. Built on TileDB's sparse array technology, it enables scalable ingestion of VCF/BCF files, incremental sample addition without expensive merging operations, and efficient parallel queries of variant data stored locally or in the cloud.
原始来源
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/tiledbvcf
- 维护者
- Jeremy Leipzig
- 许可
- MIT license
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- TileDB-VCF是一个high-performance C++ 库 ，支持 Python 、 CLI interfaces ，用于 efficient storage 、 retrieval of genomic variant-call data. Built on TileDB's sparse array technology，it enables scalable ingestion of VCF/BCF files，incremental sample addition without expensive merging operations，、 efficient parallel queries of variant data stored locally 或 in cloud。
- CONDA_SUBDIR=osx-64 conda config --env --set subdir osx-64。
原始文档
SKILL.md 摘录
When to Use This Skill
This skill should be used when:
- Learning TileDB-VCF concepts and workflows
- Prototyping genomics analyses and pipelines
- Working with small-to-medium datasets (< 1000 samples)
- Need incremental addition of new samples to existing datasets
- Require efficient querying of specific genomic regions across many samples
- Working with cloud-stored variant data (S3, Azure, GCS)
- Need to export subsets of large VCF datasets
- Building variant databases for cohort studies
- Educational projects and method development
- Performance is critical for variant data operations
Installation
Preferred Method: Conda/Mamba
## Create the conda environment
conda create -n tiledb-vcf "python<3.10"
conda activate tiledb-vcf
适用场景
- Learning TileDB-VCF concepts 、 workflows。
- Prototyping genomics analyses 、 pipelines。
- Working ，支持 small-to-medium 数据集s (< 1000 samples)。
- Need incremental addition of new samples to existing 数据集s。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
- Do not assume this entry replaces original database documentation 或 API notes。
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