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Application to perform curation of neuroscientific literature.

Project description

Getting Started | Upgrade | Releases | Roadmap | Status

For the Annotation Viewer or the integration with theOpenMinTeDplatform, please refer to thisbranch.

NeuroCurator

Desktop application to perform systematic and collaborative curation of neuroscientific literature.

This is a Graphical User Interface (GUI) for the Python module NeuroAnnotation Toolbox (NAT).

This framework has been described in details in the following open-access paper: https://doi.org/10.3389/fninf.2017.00027.

With NeuroCurator, annotations are: - traceable, - reusable across projects, - structured with controlled vocabularies.


Getting Started

Installation

After having installed Git and ImageMagick 6:

pip3 install neurocurator

If you would like to simplify the installation with Miniconda:

conda create --name nc python=3.7
conda activate nc
conda install beautifulsoup4 gitpython lxml numpy pandas scipy
pip install neurocurator

Requirements

Launch

neurocurator

If you have used Miniconda:

conda activate nc
neurocurator

Upgrade

pip install --upgrade neurocurator

If you have used Miniconda:

conda activate nc
pip install --upgrade neurocurator

Releases

Versions and their notable changes are listed in the releases section.

Roadmap

Ongoing

  1. Make the annotations publishable into a Blue Brain Nexus instance.
  2. Stabilize NeuroCurator and NAT (Software Architecture).

TODO

  1. Integrate fully the Annotation Viewer into NeuroCurator.
  2. Semi-automate the Knowledge Extraction process.

Done (latest first)

  • Remove legacy dependencies in NeuroCurator (Qt 4 and Python 3.4).
  • Integrate OpenMinTeD annotations into the literature curation framework.
  • Visualize NeuroCurator and OpenMinTeD annotations directly on PDFs.
  • Make NeuroCurator easily installable, especially by scientists.

Updated on 20.07.18.

Status

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.

Project details


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neurocurator-0.4.4-py3-none-any.whl (81.0 kB) Copy SHA256 hash SHA256 Wheel py3
neurocurator-0.4.4.tar.gz (67.1 kB) Copy SHA256 hash SHA256 Source None

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