RactIP provides services for predicting RNA joint secondary structures under the general type of interaction including kissing hairpins. RactIP runs fast and predicts the maximum expected accuracy (MEA) structure using integer programming (IP) with threshold cut. RactIP can integrate approximate information on an ensemble of equilibrium joint structures into the objective function of integer programming using posterior internal and external base-paring probabilities.
CONTRAfold is a novel secondary structure prediction method based on conditional log-linear models (CLLMs), a flexible class of probabilistic models which generalize upon SCFGs by using discriminative training and feature-rich scoring. By incorporating most of the features found in typical thermodynamic models, CONTRAfold achieves the highest single sequence prediction accuracies to date, outperforming currently available probabilistic and physics-based techniques. Our result thus closes the gap between probabilistic and thermodynamic models, demonstrating that statistical learning procedures provide an effective alternative to empirical measurement of thermodynamic parameters for RNA secondary structure prediction.
RiboSketch is a drawing program for the production of RNA and DNA secondary structure images.The user provides an input file (.ct, .bpseq, .dbn, or the save file type .rs) containing the sequence and base-pairing of the strand(s).
KNetFold is a new software for predicting the consensus secondary structure for a given alignment of RNA sequences. It uses an innovative classifier system (a hierarchical network of k-nearest neighbor classifiers) to compute for each pair of alignment positions a “base pair” or “no base pair” prediction.
conSSert is a SVM-based consenus secondary structure prediction method. Predictions from four popular secondary structure models (PSSpred, PSIPRED, Raptor-X, and SPINE-X) are integrated through the use of SVM models to produce highly accurate predictions, especially with regard to Q2-EH.
Rnall (RNA Local secondary structure prediction by Local symmetric mapping) predicts local RNA secondary structures for multiple sequences in the Fasta format or scans local secondary structure of a single genomic sequence in the Fasta format. Rnall scans the RNA sequence with a sliding window and extracts all LSS with sizes no longer than a window size using dynamic programming. Rnall has various potential applications, such as local secondary structure prediction in RNA molecules and RNA motif prediction (such as rho-independent/intrinsic terminator, riboswitch, siRNA, and viral RNA motifs).