Meiotic recombination is one of the most important driving forces in the process of biological evolution, which is initiated by double-stand DNA breaks (DSBs). Recombination has important roles in genome diversity and evolution. Based on dataset containing both ORF and non-ORF recombination sites, we construct a predictor called ‘iRSpot-Pse6NC2.0’ using SVM classifier by incorporating the key hexamer features into the general PseKNC (Pseudo K-tuple Nucleotide Composition) via the binomial distribution feature selection approach. The 5-fold cross-validated results showed that the maximum overall accuracy of 77.61%.
