@article {49678, title = {Features generated for computational splice-site prediction correspond to functional elements.}, journal = {BMC Bioinformatics}, volume = {8}, year = {2007}, month = {2007}, pages = {410}, abstract = {

BACKGROUND: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxiliary signals in the adjacent exons and introns. We previously described a feature generation algorithm (FGA) that is capable of achieving high classification accuracy on human 3{\textquoteright} splice sites. In this paper, we extend the splice-site prediction to 5{\textquoteright} splice sites and explore the generated features for biologically meaningful splicing signals.

RESULTS: We present examples from the observed features that correspond to known signals, both core signals (including the branch site and pyrimidine tract) and auxiliary signals (including GGG triplets and exon splicing enhancers). We present evidence that features identified by FGA include splicing signals not found by other methods.

CONCLUSION: Our generated features capture known biological signals in the expected sequence interval flanking splice sites. The method can be easily applied to other species and to similar classification problems, such as tissue-specific regulatory elements, polyadenylation sites, promoters, etc.

}, keywords = {Computational Biology, HUMANS, Predictive Value of Tests, RNA Splice Sites, RNA, Messenger}, issn = {1471-2105}, doi = {10.1186/1471-2105-8-410}, author = {Dogan, Rezarta Islamaj and Getoor, Lise and Wilbur, W John and Mount, Stephen M} } @article {49679, title = {SplicePort--an interactive splice-site analysis tool.}, journal = {Nucleic Acids Res}, volume = {35}, year = {2007}, month = {2007 Jul}, pages = {W285-91}, abstract = {

SplicePort is a web-based tool for splice-site analysis that allows the user to make splice-site predictions for submitted sequences. In addition, the user can also browse the rich catalog of features that underlies these predictions, and which we have found capable of providing high classification accuracy on human splice sites. Feature selection is optimized for human splice sites, but the selected features are likely to be predictive for other mammals as well. With our interactive feature browsing and visualization tool, the user can view and explore subsets of features used in splice-site prediction (either the features that account for the classification of a specific input sequence or the complete collection of features). Selected feature sets can be searched, ranked or displayed easily. The user can group features into clusters and frequency plot WebLogos can be generated for each cluster. The user can browse the identified clusters and their contributing elements, looking for new interesting signals, or can validate previously observed signals. The SplicePort web server can be accessed at http://www.cs.umd.edu/projects/SplicePort and http://www.spliceport.org.

}, keywords = {Base Sequence, Chromosome mapping, Computational Biology, Computer simulation, DNA, Genome, HUMANS, Internet, Models, Genetic, Molecular Sequence Data, Pattern Recognition, Automated, RNA Splice Sites, sequence alignment, Sequence Analysis, DNA, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkm407}, author = {Dogan, Rezarta Islamaj and Getoor, Lise and Wilbur, W John and Mount, Stephen M} } @article {49689, title = {Genomic sequence, splicing, and gene annotation.}, journal = {Am J Hum Genet}, volume = {67}, year = {2000}, month = {2000 Oct}, pages = {788-92}, keywords = {Animals, Consensus Sequence, Exons, genes, Genome, Genomics, HUMANS, Nucleotides, Regulatory Sequences, Nucleic Acid, RNA Splice Sites, RNA Splicing, Untranslated Regions}, issn = {0002-9297}, doi = {10.1086/303098}, author = {Mount, S M} }