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Python module to use the annotations created with NeuroCurator, for example in a Jupyter notebook.
This framework has been described in details in the following open-access paper: https://doi.org/10.3389/fninf.2017.00027.
NAT provides the necessary functions and utilities to:
- reliably annotate the neuroscientific literature,
- curate published values for modeling parameters,
- save them in reusable corpora.
After having installed the requirements:
pip3 install nat
Before, you might want to create a dedicated environment with conda
:
conda create --name nat_env python=3.7
conda activate nat_env
- Python 3.5+
- Git 1.7.0+ (GitPython)
- Miniconda (optional)
pip3 install --upgrade nat
If you have used conda
, activate the environment before:
conda activate nat_env
Versions and their notable changes are listed in the releases section.
Created during 2016.
Ongoing stabilization and reengineering in the branch refactor-architecture.
The branch refactor-architecture is not intended to be used by end-users.
New features, bug fixes and improvements are done on the reengineered code sections.
When a reengineered code section is stable, it's merged into the branch master and a release is published.