Welcome to the Home Page of yORIpred

In yORIpred, 40 optimal baseline models were constructed by exploring eight different sequence-based encodings and five different machine learning classifiers, namely random forest, support vector machine, and extremely randomized tree. The predicted probability of 40 models was concatenated and considered as the novel features that enable us to learn the informative features from several sequential models in a supervised iterative mode. For a given sequence, the yORIpred predicts ORIs or non-ORIs and also the predicted probability value of ORIs.

yORI-pred is the species-specific predictitor, please select the appropriate species for the prediction

Kluyveromyces lactis

Schizosaccharomyces pombe

Saccharomyces cerevisiae

Pichia pastoris


yORIpred: accurate prediction of DNA replication origin from yeast species using an iterative feature representation (Submitted).  
[Please cite this paper if you find yORIpred is useful in your research

Contact: bala@kias.re.kr