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Serializes text-mined miRNA-target interactions to BEL

License: MIT License

Python 98.96% Dockerfile 1.04%
biological-expression-language mirna-target-interactions mirtarbase

mirtarbase's Introduction

Bio2BEL Build Status Coverage Status Documentation Status zenodo

Bio2BEL is a project aimed at bringing biological databases and other structured knowledge sources in a wide variety of schemata into the unified framework of the Biological Expression Language [1].

Two important places to look:

Installation Current version on PyPI Stable Supported Python Versions MIT License

Download the latest stable code from PyPI with:

$ python -m pip install bio2bel

or get the latest from GitHub with:

$ git clone https://github.com/bio2bel/bio2bel.git
$ cd bio2bel
$ python -m pip install -e .

or check the installation instructions.

Citation

If you find Bio2BEL useful for your work, please consider citing:

[1]Hoyt, C. T., et al. (2019). Integration of Structured Biological Data Sources using Biological Expression Language. bioRxiv, 631812.

mirtarbase's People

Contributors

cojabi avatar cthoyt avatar ddomingof avatar

Watchers

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mirtarbase's Issues

Calculate co-occurrence network

which miRNAs share a significant number of the same targets? This is one way to collapse the entire bipartite network into a homogoneous network that might be more informative

Add tox script

Add tox.ini to miRTarBase repository that just runs the unit tests. Should match the same format as all the other repositories we made.

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