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. 2015 Jun 29;43(15):7504–7520. doi: 10.1093/nar/gkv651

Table 1. Types of nodes implemented in the SCFG/MRF probabilistic models introduced in this paper.

Node Name For modeling: Modeled with: Examples:
Initial/Insertion (I) Variable-length insertions Length distribution, base distribution and independent bases Allow for extraneous bases before the first flanking pair of a motif
Basepair (B) Nested basepairs and adjacent variable-length insertions (bulged bases) 4×4 probability score matrix for basepair; length and base distribution for insertions All loops with nested basepairs
Cluster (C) Base triples, crossing basepairs, basepairs on the same strand Markov Random Field S/R (base triple), C-loop (crossing basepairs)
Fixed (F) Unpaired core nucleotides 1×4 probability score vector for base Conserved base stacked between basepairs
Hairpin (H) Hairpin loops, which can contain base triples, non-nested basepairs and basepairs on the same strand Markov Random Field T-loop, GNRA loop, UNCG loop