CMfinder—A Covariance Model Based RNA Motif Finding Algorithm: Appendix, additional technical details about the algorithm
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چکیده
We used RNAfold in the Vienna package [1] to compute the minimal free energy for all subsequences in a given sequence. The ones whose length and number of stem-loops are within the range (default 30 ∼ 100 bases, 1 ∼ 2 stem loops), and are locally optimal (base paired at the ends, with no lower-energy states by extending or shrinking 2 bases at the ends) are selected. They are then sorted by the energy scaled by sequence length, and candidates are selected from the top of the list. We allow overlapped candidates as long as one of them is significantly longer than the other one.
منابع مشابه
CMfinder - a covariance model based RNA motif finding algorithm
MOTIVATION The recent discoveries of large numbers of non-coding RNAs and computational advances in genome-scale RNA search create a need for tools for automatic, high quality identification and characterization of conserved RNA motifs that can be readily used for database search. Previous tools fall short of this goal. RESULTS CMfinder is a new tool to predict RNA motifs in unaligned sequenc...
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تاریخ انتشار 2006