RNAProt v0.4 – Modelling RBP binding preferences to predict RPB Binding Sites

RNAProt v0.4

:: DESCRIPTION

RNAProt is a computational RBP binding site prediction framework based on recurrent neural networks (RNNs). Conceived as an end-to-end method, RNAProt includes all necessary functionalities, from dataset generation over model training to the evaluation of binding preferences and binding site prediction.

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::DEVELOPER

Bioinformatics Group Albert-Ludwigs-University Freiburg

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Conda

:: DOWNLOAD

RNAProt

:: MORE INFORMATION

Citation

Uhl M, Tran VD, Heyl F, Backofen R.
RNAProt: an efficient and feature-rich RNA binding protein binding site predictor.
Gigascience. 2021 Aug 18;10(8):giab054. doi: 10.1093/gigascience/giab054. PMID: 34406415; PMCID: PMC8372218.

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