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A package for converting miRTarBase to BEL

Project description

Serializes text-mined miRNA-target interactions to BEL

Installation Current version on PyPI Stable Supported Python Versions MIT License

bio2bel_mirtarbase can be installed easily from PyPI with the following code in your favorite terminal:

$ python3 -m pip install bio2bel_mirtarbase

or from the latest code on GitHub with:

$ python3 -m pip install git+https://github.com/bio2bel/mirtarbase.git@master

Citation

Chih-Hung Chou, et al; miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database. Nucleic Acids Res 2016; 44 (D1): D239-D247. doi: 10.1093/nar/gkv1258

Abstract

As a database, miRTarBase has accumulated more than three hundred and sixty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after NLP of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.

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