tiledbvcf

npx skills add K-Dense-AI/scientific-agent-skills --skill tiledbvcf --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# TileDB-VCF ## Overview 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. ## 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 ## Quick Start ### Installation **Preferred Method: Conda/Mamba** ```bash # Enter the following two lines if you are on a M1 Mac CONDA_SUBDIR=osx-64 conda config --env --set subdir osx-64 # Create

Enter the following two lines if you are on a M1 Mac
conda config --env --set subdir osx-64
Create the conda environment
conda create -n tiledb-vcf "python<3.10"
conda activate tiledb-vcf
Mamba is a faster and more reliable alternative to conda
conda install -c conda-forge mamba
Install TileDB-Py and TileDB-VCF, align with other useful libraries
mamba install -y -c conda-forge -c bioconda -c tiledb tiledb-py tiledbvcf-py pandas pyarrow numpy
docker pull tiledb/tiledbvcf-py     # Python interface