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Welcome!

This repo stores codes and data for the paper:

Shu Yang, Junwen Wang, Raymond Ng. Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolution. BMC Bioinformatics. 2018.

It contains:

  1. Scripts and instructions for the KNN method presented in the paper. And supplementary data for performance results.
  2. An extended implementation of the RCK program, called KNN-RCK which takes an input PWM as its sequence model.
  3. Predicted sequence preference in the form of PWM for ~1000 poorly studied proteins which have no binding preference information available before.

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Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolution

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