Baskerville

Sequential regulatory activity predictions with deep convolutional neural networks.

Baskerville provides researchers with tools to:

1. Train deep convolutional neural networks to predict regulatory activity along very long chromosome-scale DNA sequences
2. Score variants according to their predicted influence on regulatory activity across the sequence and/or for specific genes.
3. Annotate the specific nucleotides that drive regulatory element function.

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Documentations

Documentation page: https://calico.github.io/baskerville/index.html

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Installation

git clone [email protected]:calico/baskerville.git cd baskerville pip install .

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Contacts

Dave Kelley (codeowner)