DanQ – A Hybrid Convolutional and Recurrent Neural Network for predicting the function of DNA Sequences

DanQ

:: DESCRIPTION

DanQ is a hybrid convolutional and recurrent neural network model for predicting the function of DNA de novo from sequence.

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::DEVELOPER

CBCL Lab (Computational Biology and Computational Learning) @ UCI

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 DanQ

:: MORE INFORMATION

Citation

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences.
Quang D, Xie X.
Nucleic Acids Res. 2016 Apr 15. pii: gkw226.