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
:: MORE INFORMATION