Computational Biology and Chemistry
Journal of Biomedical Informatics
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
The Journal of Machine Learning Research
Boolean algebraic structures of the genetic code: possibilities of applications
KDECB'06 Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics
Computational Biology and Chemistry
A metastate HMM with application to gene structure identification in eukaryotes
EURASIP Journal on Advances in Signal Processing - Special issue on genomic signal processing
A feature generation algorithm for sequences with application to splice-site prediction
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Modelling splice sites with locality-sensitive sequence features
International Journal of Data Mining and Bioinformatics
Hi-index | 3.84 |
Motivation: In this age of complete genome sequencing, finding the location and structure of genes is crucial for further molecular research. The accurate prediction of intron boundaries largely facilitates the correct prediction of gene structure in nuclear genomes. Many tools for localizing these boundaries on DNA sequences have been developed and are available to researchers through the internet. Nevertheless, these tools still make many false positive predictions. Results: This manuscript presents a novel publicly available splice site prediction tool named SpliceMachine that (i) shows state-of-the-art prediction performance on Arabidopsis thaliana and human sequences, (ii) performs a computationally fast annotation and (iii) can be trained by the user on its own data. Availability: Results, figures and software are available at http://www.bioinformatics.psb.ugent.be/supplementary_data/ Contact:sven.degroeve@psb.ugent.be; yves.vandepeer@psb.ugent.be