SnoReport uses RNA secondary structure prediction combined with machine learning as the basis to identify the two main classes of small nucleolar RNAs, the box H/ACA snoRNAs and the box C/D snoRNAs.
Here, we present snoReport 2.0, which substantially improves and extends in the original method by:
- Extracting new features for both box C/D and H/ACA box snoRNAs;
- Developing a more sophisticated technique in the SVM training phase with recent data from vertebrate organisms and a careful choice of the SVM parameters C and γ;
- Using updated versions of tools and databases used for the construction of the original version of snoReport.
"SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification" paper was published in BMC Bioinformatics and are available for reading here.