Skip to main content

VICC normalization routine for variants

Project description

Variant Normalization

Services and guidelines for normalizing variant terms

Backend Services

Variant Normalization relies on some local data caches which you will need to set up. It uses pipenv to manage its environment, which you will also need to install.

Installation

From the variant directory of the repository:

pipenv sync
pip install seqrepo
mkdir -p data/seqrepo
seqrepo -r data/seqrepo pull -i 2021-01-29
sudo chmod -R u+w data/seqrepo
cd data/seqrepo
seqrepo_date_dir=$(ls -d */)
sudo mv $seqrepo_date_dir latest

Data

Variant Normalization relies on seqrepo. We are currently using version 2021-01-29.

Variant Normalization uses Ensembl BioMart to retrieve variant/data/transcript_mappings.tsv. We currently use Human Genes (GRCh38.p13) for the dataset and the following attributes we use are: Gene stable ID, Gene stable ID version, Transcript stable ID, Transcript stable ID version, Protein stable ID, Protein stable ID version, RefSeq match transcript (MANE Select), Gene name.

image

Setting up Gene Normalizer

Variant Normalization normalize endpoint relies on data from Gene Normalization. To install:

pip install gene-normalizer

To setup, follow the instructions from the Gene Normalization README.

You must have the Gene Normalizer DynamoDB running for the variant normalize endpoint to work.

Init coding style tests

Code style is managed by flake8 and checked prior to commit.

We use pre-commit to run conformance tests.

This ensures:

  • Check code style
  • Check for added large files
  • Detect AWS Credentials
  • Detect Private Key

Before first commit run:

pre-commit install

Testing

From the root directory of the repository:

pytest tests/

Starting the Variant Normalization Service

From the root directory of the repository:

uvicorn variant.main:app --reload

Next, view the OpenAPI docs on your local machine: http://127.0.0.1:8000/variant

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

variant-normalizer-0.1.11.tar.gz (37.7 kB view details)

Uploaded Source

Built Distribution

variant_normalizer-0.1.11-py3-none-any.whl (7.7 MB view details)

Uploaded Python 3

File details

Details for the file variant-normalizer-0.1.11.tar.gz.

File metadata

  • Download URL: variant-normalizer-0.1.11.tar.gz
  • Upload date:
  • Size: 37.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for variant-normalizer-0.1.11.tar.gz
Algorithm Hash digest
SHA256 3d8cbbee21fb0cc17db4d0aea71b41817cc1cef105093a92b713bf8eb3e8e665
MD5 661306c39b40435e97abbf95d02ff73c
BLAKE2b-256 7534fdcb14aacaff3b56d6b1ebd23777ff329d323cae9c08a28f8fd020bd6b72

See more details on using hashes here.

File details

Details for the file variant_normalizer-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: variant_normalizer-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 7.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for variant_normalizer-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 e3c35b56c027b5519ba2c4429e93d22d87b7f6e88d22aa8ba12a122f63281108
MD5 45e4a7396d5176de33fb6f762ea91786
BLAKE2b-256 26ac811b5a4bca83d0dc65e226948ee63920c5aa27edc0e379e1e4002981ac96

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page