PHAGES2050 is a novel Python 3.6+ programming language framework to boost bacteriophage research & therapy and infrastructure in order to achieve the full potential to fight against antimicrobial resistant bacteria within Natural Language Processing (NLP) and Deep Learning.
Our project is about developing a AI-based framework for microbiologists and bioinformaticians who hunt, explore and classify phages. Applying the framework will shorten the duration of computational methods required to match phages with bacteria for specific patient cases. Having such organised framework at hand and freely-available will help develop personalized phage therapy and make it accessible to people worldwide.
Obviously if you have a private question or want to cooperate with us, you can always reach out to us directly via our Phage Directory Slack (channel #PHAGES2050).
Feel free to add a new issue with a respective title and description on the the PHAGES2050 repository. If you already found a solution to your problem, we would be happy to review your pull request.
The PHAGES2050 package and pretrained models are released under the under terms of the MIT License.
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