:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'vcf-pg-loader' .. highlight: bash vcf-pg-loader ============= .. conda:recipe:: vcf-pg-loader :replaces_section_title: :noindex: High\-performance VCF to PostgreSQL loader with clinical\-grade compliance :homepage: https://github.com/Zacharyr41/vcf-pg-loader :documentation: https://github.com/Zacharyr41/vcf-pg-loader/tree/main/docs :license: MIT / MIT :recipe: /`vcf-pg-loader `_/`meta.yaml `_ vcf\-pg\-loader is a command\-line tool for efficiently loading VCF variant data into PostgreSQL databases. It features streaming VCF parsing with cyvcf2\, variant normalization using the vt algorithm\, proper Number\=A\/R\/G field handling during multi\-allelic decomposition\, and binary COPY protocol via asyncpg for maximum insert performance. .. conda:package:: vcf-pg-loader |downloads_vcf-pg-loader| |docker_vcf-pg-loader| :versions: ``0.5.4-0``,  ``0.5.3-0``,  ``0.5.1-0`` :depends anyio: ``>=4.3.0`` :depends asyncpg: ``>=0.29.0`` :depends cyvcf2: ``>=0.31.0`` :depends docker-py: ``>=7.0.0`` :depends pydantic: ``>=2.6.0`` :depends python: ``>=3.9`` :depends rich: ``>=13.7.0`` :depends typer: ``>=0.12.0`` :requirements: :additional platforms: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`set-up-channels`). While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see `here `_ for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others. Given that you already have a conda environment in which you want to have this package, install with:: mamba install vcf-pg-loader and update with:: mamba update vcf-pg-loader To create a new environment, run:: mamba create --name myenvname vcf-pg-loader with ``myenvname`` being a reasonable name for the environment (see e.g. the `mamba docs `_ for details and further options). Alternatively, use the docker container:: docker pull quay.io/biocontainers/vcf-pg-loader: (see `vcf-pg-loader/tags`_ for valid values for ````) .. |downloads_vcf-pg-loader| image:: https://img.shields.io/conda/dn/bioconda/vcf-pg-loader.svg?style=flat :target: https://anaconda.org/bioconda/vcf-pg-loader :alt: (downloads) .. |docker_vcf-pg-loader| image:: https://quay.io/repository/biocontainers/vcf-pg-loader/status :target: https://quay.io/repository/biocontainers/vcf-pg-loader .. _`vcf-pg-loader/tags`: https://quay.io/repository/biocontainers/vcf-pg-loader?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| badge with the following MarkDown:: [![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/vcf-pg-loader/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/vcf-pg-loader/README.html