Skip to main content

VICC normalization routine for genes

Project description

DOI

Gene Normalization

Services and guidelines for normalizing gene terms

Installing with pip:

pip install gene[dev]

The [dev] argument tells pip to install packages to fulfill the dependencies of the gene.etl package.

Developer instructions

Following are sections include instructions specifically for developers.

Installation

For a development install, we recommend using Pipenv. See the pipenv docs for direction on installing pipenv in your compute environment.

Once installed, from the project root dir, just run:

pipenv shell
pipenv lock && pipenv sync
pipenv install --dev

Gene Normalization relies on SeqRepo data, which you must download yourself.

From the root directory:

pip install seqrepo
sudo mkdir /usr/local/share/seqrepo
sudo chown $USER /usr/local/share/seqrepo
seqrepo pull -i 2021-01-29  # Replace with latest version using `seqrepo list-remote-instances` if outdated

If you get an error similar to the one below:

PermissionError: [Error 13] Permission denied: '/usr/local/share/seqrepo/2021-01-29._fkuefgd' -> '/usr/local/share/seqrepo/2021-01-29'

You will want to do the following:
(Might not be ._fkuefgd, so replace with your error message path)

sudo mv /usr/local/share/seqrepo/2021-01-29._fkuefgd /usr/local/share/seqrepo/2021-01-29
exit

Deploying DynamoDB Locally

We use Amazon DynamoDB for our database. To deploy locally, follow these instructions.

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

Running unit tests

By default, tests will employ an existing DynamoDB database. For test environments where this is unavailable (e.g. in CI), the GENE_TEST environment variable can be set to initialize a local DynamoDB instance with miniature versions of input data files before tests are executed.

export GENE_TEST=true

Running unit tests is as easy as pytest.

pipenv run pytest

Updating the gene normalization database

Before you use the CLI to update the database, run the following in a separate terminal to start a local DynamoDB service on port 8000:

java -Djava.library.path=./DynamoDBLocal_lib -jar DynamoDBLocal.jar -sharedDb

To change the port, simply add -port value.

Update source(s)

The sources we currently use are: HGNC, Ensembl, and NCBI.

To update one source, simply set --normalizer to the source you wish to update.

From the project root, run the following to update the HGNC source:

python3 -m gene.cli --normalizer="hgnc"

To update multiple sources, you can use the --normalizer flag with the source names separated by spaces.

Update all sources

To update all sources, use the --update_all flag.

From the project root, run the following to update all sources:

python3 -m gene.cli --update_all

Specifying the database URL endpoint

The default URL endpoint is http://localhost:8000. There are two different ways to specify the database URL endpoint.

The first way is to set the --db_url flag to the URL endpoint.

python3 -m gene.cli --update_all --db_url="http://localhost:8001"

The second way is to set the GENE_NORM_DB_URL to the URL endpoint.

export GENE_NORM_DB_URL="http://localhost:8001"
python3 -m gene.cli --update_all

Starting the gene normalization service

From the project root, run the following:

 uvicorn gene.main:app --reload

Next, view the OpenAPI docs on your local machine:

http://127.0.0.1:8000/gene

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

gene-normalizer-0.2.7.tar.gz (38.4 kB view details)

Uploaded Source

Built Distribution

gene_normalizer-0.2.7-py3-none-any.whl (44.0 kB view details)

Uploaded Python 3

File details

Details for the file gene-normalizer-0.2.7.tar.gz.

File metadata

  • Download URL: gene-normalizer-0.2.7.tar.gz
  • Upload date:
  • Size: 38.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for gene-normalizer-0.2.7.tar.gz
Algorithm Hash digest
SHA256 759506df6b445d60389bbbd6f12c6b520ecdb98f9dd37e8779ee85f048a7c398
MD5 b5e8591335860e797a8c56da52bf7770
BLAKE2b-256 c8369728523575c7d11657eeb2e2ca5110ed46e59418a59eebce2a8190b0143f

See more details on using hashes here.

File details

Details for the file gene_normalizer-0.2.7-py3-none-any.whl.

File metadata

File hashes

Hashes for gene_normalizer-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 194e4dd4d5fe9a3c751cbe4aa77bfc62399c0b143a697f54eb94b6eb7e0cd1c6
MD5 a1f99ba9d49a16d0a8c8ef5092e4f80d
BLAKE2b-256 b4bba0ee4bfdedb5caacfbc1e221d4b30d1aeb1448b6a3f4502e200637a00287

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