Computational prediction of Caenorhabditis box H/ACA snoRNAs using genomic properties of their host genes

Schematic representation of the workflow. (A) Selection of H/ACA snoRNAs (RNA training set) and host genes used for training the host gene compactness test and the classifier. (B) Selection of sequence sets used for background training (background introns) and negative controls (long and short introns). (C) Selection of candidate host genes and host introns (target set) and subsequent steps to identify candidate H/ACA snoRNAs. (Boxes with double borders) Sequence sets used for training; (solid lines) selection processes; (dashed lines) training processes.