Correction: Splice site identification using probabilistic parameters and SVM classification
Dynamic Systems and Control Research Group, DoMME, The University of Melbourne, Victoria 3010, Australia
BMC Bioinformatics 2007, 8:241 doi:10.1186/1471-2105-8-241Published: 5 July 2007
First paragraph (this article has no abstract)
We proposed a method for the identification of splice sites  and it was tested against two data sets – DGSplicer (402695 acceptor and 285451 donor sites) and NN269 (6876 acceptor and 6316 donor sites).