Skip to content

Commit

Permalink
update WGS and WES SQLite
Browse files Browse the repository at this point in the history
  • Loading branch information
Kalin Nonchev committed Jan 3, 2024
2 parents c191de4 + f8a5b59 commit 8deb59a
Show file tree
Hide file tree
Showing 3 changed files with 4 additions and 4 deletions.
4 changes: 2 additions & 2 deletions .github/workflows/python-publish.yml
Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,8 @@ jobs:
pip install setuptools wheel twine
- name: Build and publish
env:
TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
run: |
python setup.py sdist bdist_wheel
twine upload dist/*
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@

[The Genome Aggregation Database (gnomAD)](https://gnomad.broadinstitute.org) is a resource developed by an international coalition of investigators, with the goal of aggregating and harmonizing both exome and genome sequencing data from a wide variety of large-scale sequencing projects, and making summary data available for the wider scientific community.

This package scales the huge gnomAD files (on average ~120G/chrom) to a SQLite database with a size of <100G  and allows scientists to look for various variant annotations present in gnomAD (i.e. Allele Count, Depth, Minor Allele Frequency, etc. - [here](https://github.com/KalinNonchev/gnomAD_DB/blob/master/gnomad_db/pkgdata/gnomad_columns.yaml) you can find all selected features given the genome version). (A query containing 300.000 variants takes ~40s.)
This package scales the huge gnomAD files (on average ~120G/chrom) to a SQLite database with a size of <100G and allows scientists to look for various variant annotations present in gnomAD (i.e. Allele Count, Depth, Minor Allele Frequency, etc. - [here](https://github.com/KalinNonchev/gnomAD_DB/blob/master/gnomad_db/pkgdata/gnomad_columns.yaml) you can find all selected features given the genome version). (A query containing 300.000 variants takes ~40s.)

It extracts from a gnomAD vcf about 23 variant annotations. You can find further information about the exact fields [here](https://github.com/KalinNonchev/gnomAD_DB/blob/master/gnomad_db/pkgdata/gnomad_columns.yaml).

Expand Down
2 changes: 1 addition & 1 deletion setup.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
from setuptools import setup, find_packages

setup(name='gnomad_db',
version='0.1.3',
version='0.1.4',
description='This package scales the huge gnomAD files to a SQLite database, which is easy and fast to query. It extracts from a gnomAD vcf the minor allele frequency for each variant.',
author='KalinNonchev',
author_email='[email protected]',
Expand Down

0 comments on commit 8deb59a

Please sign in to comment.