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RNAPLFOLD(1) |
User Commands |
RNAPLFOLD(1) |
RNAplfold - manual page for RNAplfold 2.5.0
RNAplfold 2.5.0
calculate locally stable secondary structure - pair
probabilities
Computes local pair probabilities for base pairs with a maximal
span of L. The probabilities are averaged over all windows of size L that
contain the base pair. For a sequence of length n and a window size of L the
algorithm uses only O(n+L*L) memory and O(n*L*L) CPU time. Thus it is
practical to "scan" very large genomes for short stable RNA
structures.
Output consists of a dot plot in postscript file, where the
averaged pair probabilities can easily be parsed and visually inspected.
The -u option makes i possible to compute the probability that a
stretch of x consequtive nucleotides is unpaired, which is useful for
predicting possible binding sites. Again this probability is averaged over
all windows containing the region.
WARNING! Output format changed!!
The output is a plain text matrix containing on each line a
position i followed by the probability that i is unpaired, [i-1..i] is
unpaired [i-2..i] is unpaired and so on to the probability that [i-x+1..i]
is unpaired.
- -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
- Command line options which alter the general behavior of this program
- -v, --verbose
- Be verbose. (default=off)
- -W, --winsize=size
- Average the pair probabilities over windows of given size.
(default=`70')
- -L, --span=size
- Set the maximum allowed separation of a base pair to span.
- By setting the maximum base pair span no pairs (i,j) with j-i > span
will be allowed. Defaults to winsize if parameter is omitted.
- -c, --cutoff=FLOAT
- Report only base pairs with an average probability > cutoff in the dot
plot. (default=`0.01')
- -o, --print_onthefly
- Save memory by printing out everything during computation.
(default=off)
- NOTE: activated per default for sequences over 1M bp.
- -u, --ulength=length
- Compute the mean probability that regions of length 1 to a given length
are unpaired. (default=`31')
- Output is saved in a _lunp file.
- -O, --opening_energies
- Switch output from probabilities to their logarithms. (default=off)
- This is NOT exactly the mean energies needed to unfold the respective
stretch of bases! (implies --ulength option).
- --plex_output
- Create additional output files for RNAplex. (default=off)
- --noconv
- Do not automatically substitude nucleotide "T" with
"U". (default=off)
- --auto-id
- Automatically generate an ID for each sequence. (default=off)
- The default mode of RNAplfold is to automatically determine an ID from the
input sequence data if the input file format allows to do that. Sequence
IDs are usually given in the FASTA header of input sequences. If this flag
is active, RNAplfold ignores any IDs retrieved from the input and
automatically generates an ID for each sequence. This ID consists of a
prefix and an increasing number. This flag can also be used to add a FASTA
header to the output even if the input has none.
- --id-prefix=prefix
- Prefix for automatically generated IDs (as used in output file names).
(default=`sequence')
- If this parameter is set, each sequences' FASTA id will be prefixed with
the provided string. FASTA ids then take the form
">prefix_xxxx" where xxxx is the sequence number. Hence, the
output files will obey the following naming scheme:
"prefix_xxxx_dp.ps" (dot-plot), "prefix_xxxx_lunp"
(unpaired probabilities), etc. Note: Setting this parameter implies
--auto-id.
- --id-delim=STRING
- Change the delimiter between prefix and increasing number for
automatically generated IDs (as used in output file names).
(default=`_')
- This parameter can be used to change the default delimiter "_"
between
- the prefix string and the increasing number for automatically generated
ID.
- --id-digits=INT
- Specify the number of digits of the counter in automatically generated
alignment IDs. (default=`4')
- When alignments IDs are automatically generated, they receive an
increasing number, starting with 1. This number will always be left-padded
by leading zeros, such that the number takes up a certain width. Using
this parameter, the width can be specified to the users need. We allow
numbers in the range [1:18]. This option implies --auto-id.
- --id-start=LONG
- Specify the first number in automatically generated alignment IDs.
(default=`1')
- When sequence IDs are automatically generated, they receive an increasing
number, usually starting with 1. Using this parameter, the first number
can be specified to the users requirements. Note: negative numbers are not
allowed. Note: Setting this parameter implies to ignore any IDs retrieved
from the input data, i.e. it activates the --auto-id flag.
- --filename-delim=STRING
- Change the delimiting character that is used for sanitized filenames.
(default=`ID-delimiter')
- This parameter can be used to change the delimiting character used while
sanitizing filenames, i.e. replacing invalid characters. Note, that the
default delimiter ALWAYS is the first character of the "ID
delimiter" as supplied through the --id-delim option. If the
delimiter is a whitespace character or empty, invalid characters will be
simply removed rather than substituted. Currently, we regard the following
characters as illegal for use in filenames: backslash '\', slash '/',
question mark '?', percent sign '%', asterisk '*', colon ':', pipe symbol
'|', double quote '"', triangular brackets '<' and '>'.
- --filename-full
- Use full FASTA header to create filenames. (default=off)
- This parameter can be used to deactivate the default behavior of limiting
output filenames to the first word of the sequence ID. Consider the
following example: An input with FASTA header ">NM_0001 Homo
Sapiens some gene" usually produces output files with the prefix
"NM_0001" without the additional data available in the FASTA
header, e.g. "NM_0001_dp.ps". With this flag set, no truncation
of the output filenames is performed, i.e. output filenames receive the
full FASTA header data as prefixes. Note, however, that invalid characters
(such as whitespace) will be substituted by a delimiting character or
simply removed, (see also the parameter option
--filename-delim).
- --shape=<filename>
- Use SHAPE reactivity data to guide structure predictions.
- --shapeMethod=STRING
- Specify the method how to convert SHAPE reactivity data to pseudo energy
contributions. (default=`D')
- The following methods can be used to convert SHAPE reactivities into
pseudo energy contributions.
- 'D': Convert by using a linear equation according to Deigan et al 2009.
The calculated pseudo energies will be applied for every nucleotide
involved in a stacked pair. This method is recognized by a capital 'D' in
the provided parameter, i.e.: --shapeMethod="D" is the
default setting. The slope 'm' and the intercept 'b' can be set to a
non-default value if necessary, otherwise m=1.8 and b=-0.6. To alter these
parameters, e.g. m=1.9 and b=-0.7, use a parameter string like this:
--shapeMethod="Dm1.9b-0.7". You may also provide only one
of the two parameters like: --shapeMethod="Dm1.9" or
--shapeMethod="Db-0.7".
- 'Z': Convert SHAPE reactivities to pseudo energies according to
Zarringhalam et al 2012. SHAPE reactivities will be converted to pairing
probabilities by using linear mapping. Aberration from the observed
pairing probabilities will be penalized during the folding recursion. The
magnitude of the penalties can affected by adjusting the factor beta (e.g.
--shapeMethod="Zb0.8").
- 'W': Apply a given vector of perturbation energies to unpaired nucleotides
according to Washietl et al 2012. Perturbation vectors can be calculated
by using RNApvmin.
- --shapeConversion=STRING
- Specify the method used to convert SHAPE reactivities to pairing
probabilities when using the SHAPE approach of Zarringhalam et al.
(default=`O')
- The following methods can be used to convert SHAPE reactivities into the
probability for a certain nucleotide to be unpaired.
- 'M': Use linear mapping according to Zarringhalam et al.
- 'C': Use a cutoff-approach to divide into paired and unpaired nucleotides
(e.g. "C0.25")
- 'S': Skip the normalizing step since the input data already represents
probabilities for being unpaired rather than raw reactivity values
- 'L': Use a linear model to convert the reactivity into a probability for
being unpaired (e.g. "Ls0.68i0.2" to use a slope of 0.68 and an
intercept of 0.2)
- 'O': Use a linear model to convert the log of the reactivity into a
probability for being unpaired (e.g. "Os1.6i-2.29" to use a
slope of 1.6 and an intercept of -2.29)
- --commands=<filename>
- Read additional commands from file.
- Commands include hard and soft constraints, but also structure motifs in
hairpin and interior loops that need to be treeted differently.
Furthermore, commands can be set for unstructured and structured
domains.
- -T, --temp=DOUBLE
- Rescale energy parameters to a temperature in degrees centigrade.
(default=`37.0')
- -4, --noTetra
- Do not include special tabulated stabilizing energies for tri-, tetra- and
hexaloop hairpins. (default=off)
- Mostly for testing.
- -d, --dangles=INT
- Specify "dangling end" model for bases adjacent to helices in
free ends and multi-loops. (default=`2')
- With -d2 dangling energies will be added for the bases adjacent to
a helix on both sides in any case while -d0 ignores dangling ends
altogether (mostly for debugging).
- --noLP
- Produce structures without lonely pairs (helices of length 1).
(default=off)
- For partition function folding this only disallows pairs that can only
occur isolated. Other pairs may still occasionally occur as helices of
length 1.
- --noGU
- Do not allow GU pairs. (default=off)
- --noClosingGU
- Do not allow GU pairs at the end of helices. (default=off)
- -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.
When passing the placeholder file name "DNA", DNA parameters are
loaded without the need to actually specify any input file.
- -S, --pfScale=DOUBLE
- Set scaling factor for Boltzmann factors to prevent under/overflows.
- In the calculation of the partition function use pfScale *
average_free_energy as an estimate for the ensemble free energy (used to
avoid overflows). The default is 1.07, useful values are 1.0 to 1.2.
Occasionally needed for longer folding windows.
- -b, --binaries
- Output accessibility profiles in binary format. (default=off)
- The binary files produced by RNAplfold do not need to be parsed by
RNAplex,
- so that they are directly loaded into memory. This is useful when large
sequences have to be searched for putative hybridization sites. Another
advantage of the binary format is the 50% file size decrease.
- --nsp=STRING
- 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.
- -e, --energyModel=INT
- Set energy model.
- 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.
- --betaScale=DOUBLE
- Set the scaling of the Boltzmann factors. (default=`1.')
- The argument provided with this option enables to scale the thermodynamic
temperature used in the Boltzmann factors independently from the
temperature used to scale the individual energy contributions of the loop
types. The Boltzmann factors then become exp(-dG/(kT*betaScale))
where k is the Boltzmann constant, dG the free energy contribution of the
state and T the absolute temperature.
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. H. Bernhart, U. Mueckstein, and I.L. Hofacker (2011), "RNA
Accessibility in cubic time", Algorithms Mol Biol. 6: 3.
S. H. Bernhart, I.L. Hofacker, and P.F. Stadler (2006),
"Local Base Pairing Probabilities in Large RNAs", Bioinformatics:
22, pp 614-615
A.F. Bompfuenewerer, R. Backofen, S.H. Bernhart, J. Hertel, I.L.
Hofacker, P.F. Stadler, S. Will (2007), "Variations on RNA Folding and
Alignment: Lessons from Benasque", J. Math. Biol.
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
Stephan H Bernhart, Ivo L Hofacker, Peter F Stadler, Ronny Lorenz
If in doubt our program is right, nature is at fault. Comments should be sent to
rna@tbi.univie.ac.at.
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