RNA2Dfold
RNA2Dfold - manual page for RNA2Dfold 2.6.4
Synopsis
RNA2Dfold [OPTION]...
DESCRIPTION
RNA2Dfold 2.6.4
Compute MFE structure, partition function and representative sample structures of k,l neighborhoods
The program partitions the secondary structure space into (basepair)distance classes according to two fixed reference structures. It expects a sequence and two secondary structures in dot-bracket notation as its inputs. For each distance class, the MFE representative, Boltzmann probabilities and Gibbs free energy is computed. Additionally, a stochastic backtracking routine allows one to produce samples of representative suboptimal secondary structures from each partition
- -h, --help
Print help and exit
- --detailed-help
Print help, including all details and hidden options, and exit
- --full-help
Print help, including hidden options, and exit
- -V, --version
Print version and exit
I/O Options:
Command line options for input and output (pre-)processing
- -j, --numThreads=INT
Set the number of threads used for calculations (only available when compiled with OpenMP support)
- --noconv
Do not automatically substitute nucleotide “T” with “U”.
(default=off)
Algorithms:
Select additional algorithms which should be included in the calculations. The Minimum free energy (MFE) and a structure representative are calculated in any case.
- -p, --partfunc
calculate partition function and thus, Boltzmann probabilities and Gibbs free energy
(default=off)
- --stochBT=INT
backtrack a certain number of Boltzmann samples from the appropriate k,l neighborhood(s)
- --neighborhood=<k>:<l>
backtrack structures from certain k,l-neighborhood only, can be specified multiple times (<k>:<l>,<m>:<n>,…)
- -K, --maxDist1=INT
maximum distance to first reference structure
If this value is set all structures that exhibit a basepair distance greater than maxDist1 will be thrown into a distance class denoted by K=L=-1
- -L, --maxDist2=INT
maximum distance to second reference structure
If this value is set all structures that exhibit a basepair distance greater than maxDist1 will be thrown into a distance class denoted by K=L=-1
- -S, --pfScale=DOUBLE
In the calculation of the pf use scale*mfe as an estimate for the ensemble free energy (used to avoid overflows).
(default=”1.07”)
The default is 1.07, useful values are 1.0 to 1.2. Occasionally needed for long sequences.
- --noBT
do not backtrack structures, calculate energy contributions only
(default=off)
- -c, --circ
Assume a circular (instead of linear) RNA molecule.
(default=off)
Energy Parameters:
Energy parameter sets can be adapted or loaded from user-provided input files
- -T, --temp=DOUBLE
Rescale energy parameters to a temperature of temp C. Default is 37C.
(default=”37.0”)
- -P, --paramFile=paramfile
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. The placeholder file name
DNAcan be used to load DNA parameters without the need to actually specify any input file.
- -4, --noTetra
Do not include special tabulated stabilizing energies for tri-, tetra- and hexaloop hairpins.
(default=off)
Mostly for testing.
- --salt=DOUBLE
Set salt concentration in molar (M). Default is 1.021M.
Model Details:
Tweak the energy model and pairing rules additionally using the following parameters
- -d, --dangles=INT
How to treat “dangling end” energies for bases adjacent to helices in free ends and multi-loops
(possible values=”0”, “2” default=”2”)
With
-d2dangling energies will be added for the bases adjacent to a helix on both sides in any case. The option-d0ignores dangling ends altogether (mostly for debugging).
- --noGU
Do not allow GU pairs.
(default=off)
- --noClosingGU
Do not allow GU pairs at the end of helices.
(default=off)
REFERENCES
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
R. Lorenz, C. Flamm, I.L. Hofacker (2009), “2D Projections of RNA folding Landscapes”, GI, Lecture Notes in Informatics, German Conference on Bioinformatics 2009: 157, pp 11-20
M. Zuker, P. Stiegler (1981), “Optimal computer folding of large RNA sequences using thermodynamic and auxiliary information”, Nucl Acid Res: 9, pp 133-148
J.S. McCaskill (1990), “The equilibrium partition function and base pair binding probabilities for RNA secondary structures”, Biopolymers: 29, pp 1105-1119
I.L. Hofacker and P.F. Stadler (2006), “Memory Efficient Folding Algorithms for Circular RNA Secondary Structures”, Bioinformatics
D. Adams (1979), “The hitchhiker’s guide to the galaxy”, Pan Books, London
The calculation of mfe structures is based on dynamic programming algorithm originally developed by M. Zuker and P. Stiegler. The partition function algorithm is based on work by J.S. McCaskill.
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
REPORTING BUGS
If in doubt our program is right, nature is at fault. Comments should be sent to rna@tbi.univie.ac.at.