Ubuntu Manpage: RNAplfold - manual page for RNAplfold 2.6.4

Provided by: vienna-rna_2.6.4+dfsg-1build1_amd64

NAME

       RNAplfold - manual page for RNAplfold 2.6.4

SYNOPSIS

       RNAplfold [OPTION]...

DESCRIPTION

RNAplfold 2.6.4

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

-v, --verbose
Be verbose.

(default=off)

I/O Options:
Command line options for input and output (pre-)processing

-c, --cutoff=FLOAT
Report only base pairs with an average probability larger than '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.

-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)

-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.

--noconv
Do not automatically substitute 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=STRING
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=CHAR
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 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=CHAR
Change the delimiting character used in 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_ss.ps" for secondary structure plots. With this flag set, no
truncation of the output filenames is done, 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).

Algorithms:
Select and change parameters of (additional) algorithms which should be included in
the calculations.

-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.

-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.

--betaScale=DOUBLE
Set the scaling of the Boltzmann factors. (default=`1.')

The argument provided with this option is used to scale the thermodynamic
temperature in the Boltzmann factors independently from the temperature of the
individual loop energy contributions. 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.

-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.

Structure Constraints:
Command line options to interact with the structure constraints feature of this
program

--shape=filename
Use SHAPE reactivity data to guide structure predictions.

--shapeMethod=method
Select SHAPE reactivity data incorporation strategy.

(default=`D')

The following methods can be used to convert SHAPE reactivities into pseudo energy
contributions.

'D': Convert by using the linear equation according to Deigan et al 2009.

Derived pseudo energy terms 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=method
Select method for SHAPE reactivity conversion.

(default=`O')

This parameter is useful when dealing with the SHAPE incorporation according to
Zarringhalam et al. 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.

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 'DNA' can 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.

-m, --modifications[=STRING]
Allow for modified bases within the RNA sequence string.

(default=`7I6P9D')

Treat modified bases within the RNA sequence differently, i.e. use corresponding
energy corrections and/or pairing partner rules if available. For that, the
modified bases in the input sequence must be marked by their corresponding
one-letter code. If no additional arguments are supplied, all available corrections
are performed. Otherwise, the user may limit the modifications to a particular
subset of modifications, resp. one-letter codes, e.g. -mP6 will only correct for
pseudouridine and m6A bases.

Currently supported one-letter codes and energy corrections are:

'7': 7-deaza-adenonsine (7DA)

'I': Inosine

'6': N6-methyladenosine (m6A)

'P': Pseudouridine

'9': Purine (a.k.a. nebularine)

'D': Dihydrouridine

--mod-file=STRING
Use additional modified base data from JSON file.

Model Details:
Tweak the energy model and pairing rules additionally using the following
parameters

-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)

--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.
--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.

--helical-rise=FLOAT
Set the helical rise of the helix in units of Angstrom.

(default=`2.8')

Use with caution! This value will be re-set automatically to 3.4 in case DNA
parameters are loaded via -P DNA and no further value is provided.

--backbone-length=FLOAT
Set the average backbone length for looped regions in units of Angstrom.

(default=`6.0')

Use with caution! This value will be re-set automatically to 6.76 in case DNA
parameters are loaded via -P DNA and no further value is provided.

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

       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

AUTHOR

       Stephan H Bernhart, Ivo L Hofacker, Peter F Stadler, Ronny Lorenz

REPORTING BUGS

       If  in  doubt  our  program  is  right,  nature  is  at fault.  Comments should be sent to
       rna@tbi.univie.ac.at.

NAME

SYNOPSIS

DESCRIPTION

REFERENCES

AUTHOR

REPORTING BUGS

SEE ALSO