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

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FIGURE 2.
FIGURE 2.

Sequence features of C. elegans H/ACA. (A) Sequence logos showing that GTnnGT usage is higher in host introns than all introns. Sequence logos were generated using in-house-developed software based on literature (Schneider and Stephens 1990). (B) Sequence logo showing the consensus motif of the extended 6-nt ACA-box. (C) Pre-selection of H- and ACA-boxes requires the box motifs to conform to sequence consensus, as well as to be positioned within spatial constraints with respect to each other and the intron boundaries. (D) Sequence features of the H/ACA used by the Naive Bayesian Classifier to evaluate candidate sequences.

This Article

  1. RNA 16: 290-298