Validation of human alternative splice forms using the EASED platform and multiple splice site discriminating features

We have shown for a dataset of computationally predicted alternative splice sites how inherent information can be utilized to validate the predictions by applying statistics on different features typical for splice sites. As a promising splice site feature we investigated the frequencies of binding motifs in the context of exonic and intronic splice site flanks and between the alternative and reference splice sites. We show that both partitions of splice sites can statistically be separated not only by their distance to the splice signal consensus but also via frequencies of splice regulatory protein (SRp) binding motifs in the splice site environment.