Provided by: vienna-rna_2.4.17+dfsg-2build2_amd64 
NAME
RNAcofold - manual page for RNAcofold 2.4.17
SYNOPSIS
RNAcofold [OPTION]... [FILE]...
DESCRIPTION
RNAcofold 2.4.17
calculate secondary structures of two RNAs with dimerization
The program works much like RNAfold, but allows one to specify two RNA sequences which are then allowed
to form a dimer structure. RNA sequences are read from stdin in the usual format, i.e. each line of input
corresponds to one sequence, except for lines starting with ">" which contain the name of the next
sequence. To compute the hybrid structure of two molecules, the two sequences must be concatenated using
the \'&\' character as separator. RNAcofold can compute minimum free energy (mfe) structures, as well as
partition function (pf) and base pairing probability matrix (using the -p switch) Since dimer formation
is concentration dependent, RNAcofold can be used to compute equilibrium concentrations for all five
monomer and (homo/hetero)-dimer species, given input concentrations for the monomers. Output consists of
the mfe structure in bracket notation as well as PostScript structure plots and "dot plot" files
containing the pair probabilities, see the RNAfold man page for details. In the dot plots a cross marks
the chain break between the two concatenated sequences. The program will continue to read new sequences
until a line consisting of the single character @ or an end of file condition is encountered.
-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
General Options:
Command line options which alter the general behavior of this program
-v, --verbose
Be verbose.
(default=off)
-j, --jobs[=number]
Split batch input into jobs and start processing in parallel using multiple threads. A value of 0
indicates to use as many parallel threads as computation cores are available.
(default=`0')
Default processing of input data is performed in a serial fashion, i.e. one sequence pair at a
time. Using this switch, a user can instead start the computation for many sequence pairs in the
input in parallel. RNAcofold will create as many parallel computation slots as specified and
assigns input sequences of the input file(s) to the available slots. Note, that this increases
memory consumption since input alignments have to be kept in memory until an empty compute slot is
available and each running job requires its own dynamic programming matrices.
--unordered
Do not try to keep output in order with input while parallel processing is in place.
(default=off)
When parallel input processing (--jobs flag) is enabled, the order in which input is processed
depends on the host machines job scheduler. Therefore, any output to stdout or files generated by
this program will most likely not follow the order of the corresponding input data set. The
default of RNAcofold is to use a specialized data structure to still keep the results output in
order with the input data. However, this comes with a trade-off in terms of memory consumption,
since all output must be kept in memory for as long as no chunks of consecutive, ordered output
are available. By setting this flag, RNAcofold will not buffer individual results but print them
as soon as they have been computated.
--noPS Do not produce postscript drawing of the mfe structure.
(default=off)
--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 RNAcofold 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, RNAcofold 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 sequence will be prefixed with the provided string. Hence, the
output files will obey the following naming scheme: "prefix_xxxx_ss.ps" (secondary structure
plot), "prefix_xxxx_dp.ps" (dot-plot), "prefix_xxxx_dp2.ps" (stack probabilities), etc. where xxxx
is the sequence number. Note: Setting this parameter implies --auto-id.
--id-delim=delimiter
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=delimiter
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_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).
--output-format=format-character
Change the default output format
(default=`V')
The following output formats are currently supported:
ViennaRNA format (V), Delimiter-separated format (D) also known as CSV
format.
--csv-delim=delimiter
Change the delimiting character for Delimiter-separated output format, such as CSV
(default=`,')
Delimiter-separated output defaults to comma separated values (CSV), i.e. all data in one data set
is delimited by a comma character. This option allows one to change the delimiting character to
something else. Note, to switch to tab-separated data, use $'\t' as delimiting character.
--csv-noheader
Do not print header for Delimiter-separated output, such as CSV
(default=off)
Structure Constraints:
Command line options to interact with the structure constraints feature of this program
--maxBPspan=INT
Set the maximum base pair span
(default=`-1')
-C, --constraint[=<filename>] Calculate structures subject to constraints.
(default=`')
The program reads first the sequence, then a string containing constraints on the structure
encoded with the symbols:
. (no constraint for this base)
| (the corresponding base has to be paired
x (the base is unpaired)
< (base i is paired with a base j>i)
> (base i is paired with a base j<i)
and matching brackets ( ) (base i pairs base j)
With the exception of "|", constraints will disallow all pairs conflicting with the constraint.
This is usually sufficient to enforce the constraint, but occasionally a base may stay unpaired in
spite of constraints. PF folding ignores constraints of type "|".
--batch
Use constraints for multiple sequences. (default=off)
Usually, constraints provided from input file only apply to a single input sequence. Therefore,
RNAcofold will stop its computation and quit after the first input sequence was processed. Using
this switch, RNAcofold processes multiple input sequences and applies the same provided
constraints to each of them.
--canonicalBPonly
Remove non-canonical base pairs from the structure constraint
(default=off)
--enforceConstraint
Enforce base pairs given by round brackets ( ) in structure constraint
(default=off)
--shape=<filename>
Use SHAPE reactivity data to guide structure predictions
--shapeMethod=[D/Z/W] + [optional parameters]
Select method to incorporate SHAPE reactivity
data. (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=M/C/S/L/O
+ [optional parameters] Select method to convert SHAPE reactivities to
pairing probabilities.
(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.
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[=INT]
Calculate the partition function and base pairing probability matrix in addition to the mfe
structure. Default is calculation of mfe structure only.
(default=`1')
In addition to the MFE structure we print a coarse representation of the pair probabilities in
form of a pseudo bracket notation, followed by the ensemble free energy, as well as the centroid
structure derived from the pair probabilities together with its free energy and distance to the
ensemble. Finally it prints the frequency of the mfe structure, and the structural diversity
(mean distance between the structures in the ensemble). See the description of pf_fold() and
mean_bp_dist() and centroid() in the RNAlib documentation for details. Note that unless you also
specify -d2 or -d0, the partition function and mfe calculations will use a slightly different
energy model. See the discussion of dangling end options below.
An additionally passed value to this option changes the behavior of partition function
calculation:
In order to calculate the partition function but not the pair probabilities
use the -p0 option and save about
50% in runtime. This prints the ensemble free energy -kT ln(Z).
-a, --all_pf[=INT]
Compute the partition function and free energies not only of the hetero-dimer consisting of the
two input sequences (the "AB dimer"), but also of the homo-dimers AA and BB as well as A and B
monomers.
(default=`1')
The output will contain the free energies for each of these species, as well as 5 dot plots
containing the conditional pair probabilities, called "ABname5.ps", "AAname5.ps" and so on. For
later use, these dot plot files also contain the free energy of the ensemble as a comment. Using
-a automatically switches on the -p option. Base pair probability computations may be turned off
altogether by providing "0" as an argument to this parameter. In that case, no dot plot files will
be generated.
-c, --concentrations
In addition to everything listed under the -a option, read in initial monomer concentrations and
compute the expected equilibrium concentrations of the 5 possible species (AB, AA, BB, A, B).
(default=off)
Start concentrations are read from stdin (unless the -f option is used) in [mol/l], equilibrium
concentrations are given realtive to the sum of the two inputs. An arbitrary number of initial
concentrations can be specified (one pair of concentrations per line).
-f, --concfile=filename
Specify a file with initial concentrations for the two sequences.
The table consits of arbitrary many lines with just two numbers (the concentration of sequence A
and B). This option will automatically toggle the -c (and thus -a and -p) options (see above).
--centroid
Compute the centroid structure. (default=off)
Additionally to the MFE structure, compute the centroid representative of the structure ensemble.
Here, we apply the base pair distance as distance measure, and report the structure that minimizes
its Boltzmann weighted base pair distance to the rest of the ensemble. Computing the centroid
structure requires equilibrium base pair probabilities. Therefore, this option implies the -p
switch. For historical reasons, the centroid structure output is deactivated by default.
--MEA[=gamma]
Calculate an MEA (maximum expected accuracy) structure, where the expected accuracy is computed
from the pair probabilities: each base pair (i,j) gets a score 2*gamma*p_ij and the score of an
unpaired base is given by the probability of not forming a pair.
(default=`1.')
The parameter gamma tunes the importance of correctly predicted pairs versus unpaired bases. Thus,
for small values of gamma the MEA structure will contain only pairs with very high probability.
Using --MEA implies -p for computing the pair probabilities.
-S, --pfScale=scaling factor
In the calculation of the pf use scale*mfe 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 long sequences. You
can also recompile the program to use double precision (see the README file).
--bppmThreshold=<value>
Set the threshold for base pair probabilities included in the postscript output
(default=`1e-5')
By setting the threshold the base pair probabilities that are included in the output can be
varied. By default only those exceeding 1e-5 in probability will be shown as squares in the dot
plot. Changing the threshold to any other value allows for increase or decrease of data.
-g, --gquad
Incoorporate G-Quadruplex formation into the structure prediction algorithm.
(default=off)
Model Details:
-T, --temp=DOUBLE
Rescale energy parameters to a temperature of temp C. Default is 37C.
-4, --noTetra
Do not include special tabulated stabilizing energies for tri-, tetra- and hexaloop hairpins.
(default=off)
Mostly for testing.
-d, --dangles=INT
How to treat "dangling end" energies for bases adjacent to helices in free ends and multi-loops
(default=`2')
With -d1 only unpaired bases can participate in at most one dangling end. With -d2 this check is
ignored, dangling energies will be added for the bases adjacent to a helix on both sides in any
case; this is the default for mfe and partition function folding (-p). The option -d0 ignores
dangling ends altogether (mostly for debugging). With -d3 mfe folding will allow coaxial stacking
of adjacent helices in multi-loops. At the moment the implementation will not allow coaxial
stacking of the two interior pairs in a loop of degree 3 and works only for mfe folding.
Note that with -d1 and -d3 only the MFE computations will be using this setting while partition
function uses -d2 setting, i.e. dangling ends will be treated differently.
--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.
--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. RNAcofold -nsp -GA will allow GA
and AG pairs. Nonstandard pairs are given 0 stacking energy.
-e, --energyModel=INT
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.
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, Ch. Flamm, P.F. Stadler, I.L. Hofacker, (2006), "Partition Function and Base Pairing
Probabilities of RNA Heterodimers", Algorithms Mol. 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
Ivo L Hofacker, Peter F Stadler, Stephan Bernhart, 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.