VICC normalization routine for genes
Project description
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seqrepo pull -i 2021-01-29 # Replace with latest version using `seqrepo list-remote-instances` if outdated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
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:
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file gene-normalizer-0.1.30.tar.gz.
File metadata
- Download URL: gene-normalizer-0.1.30.tar.gz
- Upload date:
- Size: 38.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | eb335a3b0fbafed5c0d8e7e4c5d14558dd0a3ce305968b6725a1176f83e7b10c |
|
| MD5 | 0e92878fedaeeafd8a9498fb4254ea1c |
|
| BLAKE2b-256 | 99a3384c2cbc15aedbe30556e95a4c46a0457a73a514f5740d31a1afe7e4c105 |
File details
Details for the file gene_normalizer-0.1.30-py3-none-any.whl.
File metadata
- Download URL: gene_normalizer-0.1.30-py3-none-any.whl
- Upload date:
- Size: 43.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 347ddf1e6a6abcca4f9fe78733c3457bb56582ed6f116cb0fb36631cbb8c78f6 |
|
| MD5 | 139c662c9a0fc53b4011b14c6f246050 |
|
| BLAKE2b-256 | 47593791aff95b651080706541de65b9ed03174ac79201a9f44826c81e5b4c95 |
