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Project description

IPR

build PyPi codecov

This python tool takes in variant inputs as tab-delimited files and annotates them using GraphKB. The resulting output is uploaded to IPR as a report. Additional report content such as images and metadata can be passed to be included in the report upload.

Getting Started

Install (For developers)

clone this repository

git clone https://github.com/bcgsc/pori_ipr_python.git
cd pori_ipr_python

create a virtual environment

python3 -m venv venv
source venv/bin/activate

install the package and its development dependencies

pip install -e .[dev]

Run the tests

pytest tests

Generating the Documentation

This documentation is generated using mkdocs, mkdocs-material, and markdown_refdocs.

First install the documentation dependencies

pip install .[doc]

Then generate the user manual files

markdown_refdocs ipr -o docs/reference
mkdocs build

There should now be static html files under build-docs. To view the files, serve the folder using the built-in python http server

python3 -m http.server -d build-docs

Project details


Download files

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Source Distribution

ipr-1.0.1.tar.gz (26.0 kB view details)

Uploaded Source

Built Distribution

ipr-1.0.1-py3-none-any.whl (42.8 kB view details)

Uploaded Python 3

File details

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File metadata

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  • Upload date:
  • Size: 26.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

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File details

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  • Download URL: ipr-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 42.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

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See more details on using hashes here.

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