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SpliceIT: A hybrid method for splice signal identification based on probabilistic and biological inference
2010
Journal of Biomedical Informatics
Splice sites define the boundaries of exonic regions and dictate protein synthesis and function. The splicing mechanism involves complex interactions among positional and compositional features of different lengths. Computational modeling of the underlying constructive information is especially challenging, in order to decipher splicing-inducing elements and alternative splicing factors. SpliceIT (Splice Identification Technique) introduces a hybrid method for splice site prediction that
doi:10.1016/j.jbi.2009.09.004
pmid:19800027
fatcat:t22a6ektrfg7ndgjpubix44zfy