nplinker 2.0.2

Natural Products Linker

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NPLinker is a python framework for data mining microbial natural products by integrating genomics and metabolomics data.

Original paper: Ranking microbial metabolomic and genomic links in the NPLinker framework using complementary scoring functions.

Setup and usage

Requirement

• Linux, MacOS or Windows with WSL
• Python version ≥3.11

Installation

NPLinker is a python package, using both pypi packages and non-pypi packages as dependencies. It requires ~4.5GB of disk space to install all the dependencies.

# Create a new virtual environment and activate it
conda create -n npl-3.11 python=3.11
conda activate npl-3.11 

# install from nplinker releases (requiring ~300MB of disk space)
pip install nplinker

# install nplinker non-pypi dependencies and databases (~4GB)
install-nplinker-deps

Testing

To run the tests, you need to clone this repo and install the development dependencies:

# Create a new virtual environment
conda create -n npl-3.11 python=3.11
conda activate npl-3.11

# Clone the repository and install the development dependencies
git clone https://github.com/NPLinker/nplinker.git
cd nplinker
pip install -e ".[dev]"
install-nplinker-deps

Unit tests

To run the unit tests, you can use the following command:

pytest

Pytest will use all available CPU cores to run the unit tests in parallel.

Integration tests

To run the integration tests, you can use the following command:

pytest -n1 tests/integration

The -n1 is to use one CPU core to run the tests. Change it to -n2 if you want to use two CPU cores to run in parallel.

Usage

See the documentation for more information about how to use NPLinker.

Contributing

If you want to contribute to the development of nplinker, have a look at the contribution guidelines and README for developers.