DeepArk – Deep Learning models of Regulatory Activity for Model Species

DeepArk

:: DESCRIPTION

DeepArk is a set of deep learning algorithms capable of predicting regulatory activity (e.g. transcription factor binding) from genomic sequences. DeepArk consists of four distinct neural networks for mouse (Mus musculus), fly (Drosophila melanogaster), worm (Caenorhabditis elegans), and zebrafish (Danio rerio)

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::DEVELOPER

Troyanskaya Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

DeepArk: modeling cis-regulatory codes of model species with deep learning
Evan M. CoferJoão RaimundoAlicja TadychYuji YamazakiAaron K. WongChandra L. TheesfeldMichael S. LevineOlga G. Troyanskaya

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