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. 2017 May 3;2017:9139504. doi: 10.1155/2017/9139504

Table 1.

Homology-based ncRNA function prediction methods.

Name URL Feature Prediction algorithm
BLAST [18] https://blast.ncbi.nlm.nih.gov/Blast.cgi Sequence only BLAST E-value

BLAT [21] https://genome.ucsc.edu/cgi-bin/hgBlat Sequence only Pairwise alignment algorithm

CSHMM [38] Structure only A discriminant function based on likelihood score for a hidden Markov model (CSHMM)

Infernal [20, 24] http://infernal.janelia.org/ Sequence and RNA secondary structure Stochastic context-free grammars called covariance models (CMs), HMM

ERPIN [39] http://rna.igmors.u-psud.fr/Software/erpin.php Sequence and RNA secondary structure Profile-based dynamic programming algorithm and E-value

QRNA [19] Sequence only Pair hidden Markov model

RNAz [23] https://www.tbi.univie.ac.at/~wash/RNAz/ RNA secondary structure and thermodynamic stability Support vector machine regression

Evofold [40] https://github.com/bowhan/kent/blob/master/src/hg/makeDb/trackDb/drosophila/evofold.html A log-odds score Phylogenetic stochastic context-free grammars

MASTR [25] http://mastr.binf.ku.dk/ Mutual information with gap penalty, six canonical base pairs, stacking of adjacent base pairs, and the score combining the log-likelihood of the alignment, a covariation term, and the base-pair probabilities Sampling approach by Markov chain Monte Carlo in a simulated annealing framework