SSpred – Splice Site Prediction with Regulatory Elements and Dependencies

SSpred

:: DESCRIPTION

SSPred is a splice site prediction toolchain which incorporated a statistical model of splicing signals built based on the entropy density profile (EDP) method, weight array method (WAM), and kappa test, and a model of splicing regulatory elements developed by an unsupervised self-learning method to detect motifs associated with splicing regulatory elements.

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::DEVELOPER

ZhuLab, Peking Uiniversity, Beijing

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 SSPred

:: MORE INFORMATION