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seqrepo pull -i 2021-01-29  # Replace with latest version using `seqrepo list-remote-instances` if outdated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-0.1.31.tar.gz (38.6 kB view details)

Uploaded Source

Built Distribution

gene_normalizer-0.1.31-py3-none-any.whl (44.2 kB view details)

Uploaded Python 3

File details

Details for the file gene-normalizer-0.1.31.tar.gz.

File metadata

  • Download URL: gene-normalizer-0.1.31.tar.gz
  • Upload date:
  • Size: 38.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for gene-normalizer-0.1.31.tar.gz
Algorithm Hash digest
SHA256 a2d4a4dece19e9306b73a367de8ab835b288bb095e261e409d3a75045717c26e
MD5 cf05fb42270c3ec7fbcfc115104bc8a7
BLAKE2b-256 5cb273bfd0af34a241023e3ad6dbded3c527fa481e33e2f932a7acb3113791aa

See more details on using hashes here.

File details

Details for the file gene_normalizer-0.1.31-py3-none-any.whl.

File metadata

File hashes

Hashes for gene_normalizer-0.1.31-py3-none-any.whl
Algorithm Hash digest
SHA256 6ec3e841f2ed05f56fd9225c455758c4d22b09da026bbbf6ebf62acf6fccd5fe
MD5 7968ef93a33003b41387e06a1db23971
BLAKE2b-256 7bcc33abee2ccd12e280dbba4de11105876c8720ac13db4fa90d359ad137aa85

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