RNApdist − manual page for RNApdist 2.4.18
Calculate distances between thermodynamic RNA secondary structures ensembles
This program reads RNA sequences from stdin and calculates structure distances between the thermodynamic ensembles of their secondary structures.
To do this the partition function and matrix of base pairing probabilities is computed for each sequence. The probability matrix is then condensed into a vector holding for each base the probabilities of being unpaired, paired upstream, or paired downstream, respectively. These profiles are compared by a standard alignment algorithm.
The base pair
probabilities are also saved as postscript "dot
plots" (as in RNAfold) in the files
"name_dp.ps", where name is the name of the
sequence, or a number if unnamed.
Print help and exit
Print help, including all details and hidden options, and exit
Print help, including hidden options, and exit
Print version and exit
Do not automatically substitude nucleotide "T" with "U"
Specify the comparison directive. (default=‘p’)
Possible arguments for this option are: −Xp compare the structures pairwise (p), i.e. first with 2nd, third with 4th etc. −Xm calculate the distance matrix between all structures. The output is formatted as a lower triangle matrix. −Xf compare each structure to the first one. −Xc compare continuously, that is i−th with (i+1)th structure.
Print an "alignment" with gaps of the profiles. The aligned structures are written to <filename>, if specified.
Within the profile output, the following symbols will be used:
essentially upstream (downstream) paired bases
weakly upstream (downstream) paired bases
strongly paired bases without preference
weakly paired bases without preference
essentially unpaired bases.
If <filename> is not specified, the output is written to stdout, unless the
"−Xm" option is set in which case "backtrack.file" is used.
Rescale energy parameters to a temperature of temp C. Default is 37C.
Do not include special tabulated stabilizing energies for tri−, tetra− and hexaloop hairpins. Mostly for testing.
set energy model for treatment of dangling bases
(possible values="0", "2" default=‘2’)
Produce structures without lonely pairs (helices of length 1).
For partition function folding this only disallows pairs that can only occur isolated. Other pairs may still occasionally occur as helices of length 1.
Do not allow GU pairs
Do not allow GU pairs at the end of helices
Read energy parameters from paramfile, instead of using the default parameter set.
Different sets of energy parameters for RNA and DNA should accompany your distribution. See the RNAlib documentation for details on the file format. When passing the placeholder file name "DNA", DNA parameters are loaded without the need to actually specify any input file.
Allow other pairs in addition to the usual AU,GC,and GU pairs.
Its argument is a comma separated list of additionally allowed pairs. If the first character is a "−" then AB will imply that AB and BA are allowed pairs. e.g. RNAfold −nsp −GA will allow GA and AG pairs. Nonstandard pairs are given 0 stacking energy.
Rarely used option to fold sequences from the artificial ABCD... alphabet, where A pairs B, C−D etc. Use the energy parameters for GC (−e 1) or AU (−e 2) pairs.
If you use this program in your work you might want to cite:
R. Lorenz, S.H. Bernhart, C. Hoener zu Siederdissen, H. Tafer, C. Flamm, P.F. Stadler and I.L. Hofacker (2011), "ViennaRNA Package 2.0", Algorithms for Molecular Biology: 6:26
I.L. Hofacker, W. Fontana, P.F. Stadler, S. Bonhoeffer, M. Tacker, P. Schuster (1994), "Fast Folding and Comparison of RNA Secondary Structures", Monatshefte f. Chemie: 125, pp 167-188
R. Lorenz, I.L. Hofacker, P.F. Stadler (2016), "RNA folding with hard and soft constraints", Algorithms for Molecular Biology 11:1 pp 1-13
S. Bonhoeffer, J.S. McCaskill, P.F. Stadler, P. Schuster (1993), "RNA multi-structure landscapes", Euro Biophys J:22, pp 13-24
The energy parameters are taken from:
D.H. Mathews, M.D. Disney, D. Matthew, J.L. Childs, S.J. Schroeder, J. Susan, M. Zuker, D.H. Turner (2004), "Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure", Proc. Natl. Acad. Sci. USA: 101, pp 7287-7292
D.H Turner, D.H. Mathews (2009), "NNDB: The nearest neighbor parameter database for predicting stability of nucleic acid secondary structure", Nucleic Acids Research: 38, pp 280-282
Peter F Stadler, Ivo L Hofacker, Sebastian Bonhoeffer.
If in doubt our program is right, nature is at fault. Comments should be sent to email@example.com.