Provided by: vienna-rna_2.5.1+dfsg-1build3_amd64 
NAME
RNALfold - manual page for RNALfold 2.5.1
SYNOPSIS
RNALfold [OPTION]...
DESCRIPTION
RNALfold 2.5.1
calculate locally stable secondary structures of RNAs
Compute locally stable RNA secondary structure with a maximal base pair span. For a sequence of length n
and a base pair span 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 RNA structures. Output consists of a list of secondary
structure components of size <= L, one entry per line. Each output line contains the predicted local
structure its energy in kcal/mol and the starting position of the local structure.
-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:
Below are command line options which alter the general behavior of this program
-v, --verbose
Be verbose
(default=off)
-L, --span=INT
Set the maximum distance between any two pairing nucleotides.
(default=`150')
This option specifies the window length L and therefore the upper limit for the distance between
the bases i and j of any pair (i, j), i.e. (j - i + 1) <= L.
--noconv
Do not automatically substitude nucleotide "T" with "U"
(default=off)
-o, --outfile[=<filename>]
Print output to file instead of stdout
This option may be used to write all output to output files rather than printing to stdout. The
number of output files created for batch input (multiple sequences) depends on three conditions:
(i) In case an optional filename is given as parameter argument, a single file with the specified
filename will be written into. If the optional argument is omitted, (ii) FASTA input or an active
--auto-id switch will write to multiple files that follow the naming scheme "prefix.lfold". Here,
"prefix" is taken from the sequence id as specified in the FASTA header. Lastly, (iii) single-line
sequence input without FASTA header will be written to a single file "RNALfold_output.lfold". In
case an output file already exists, any output of the program will be appended to it. Since the
filename argument is optional, it must immediately follow the short option flag to not be mistaken
as new parameter to the program. For instance \'-ornafold.out\' will write to a file
"rnafold.out". Note: Any special characters in the filename will be replaced by the filename
delimiter, hence there is no way to pass an entire directory path through this option yet. (See
also the "--filename-delim" parameter)
-i, --infile=<filename>
Read a file instead of reading from stdin
The default behavior of RNALfold is to read input from stdin. Using this parameter the user can
specify an input file name where data is read from.
--auto-id
Automatically generate an ID for each sequence. (default=off)
The default mode of RNALfold 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, RNALfold 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
Set prefix for automatically generated IDs (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.lfold" where xxxx is the sequence
number. Note: Setting this parameter implies --auto-id.
--id-delim=delimiter
Change prefix delimiter for automatically generated ids.
(default=`_')
This parameter can be used to change the default delimiter "_" between
the prefix string and the increasing number for automatically generated IDs
--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.lfold". 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).
--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.
-z, --zscore[=DOUBLE]
Limit the output to predictions with a Z-score below a threshold
(default=`-2')
This option activates z-score regression using a trained SVM. Any predicted structure that exceeds
the specified threshold will be ommited from the output. Since the Z-score threshold is given as
a negative number, it must immediately preceed the short option to not be mistaken as a separate
argument, e.g. -z-2.9 sets the threshold to a value of -2.9
--zscore-pre-filter
Apply the z-score filtering in the forward recursions
(default=off)
The default mode of z-score filtering considers the entire structure space to decide whether or
not a locally optimal structure at any position i is reported or not. When using this
post-filtering step, however, alternative locally optimal structures
starting at i with higher energy but lower z-score can be easily missed. The
pre-filter
option restricts the structure space already in the forward recursions, such
that
only optimal solution among those candidates that satisfy the z-score
threshold are considered. Therefore, good results according to the z-score threshold criterion are
less likely to be superseded by results with better energy but worse z-score. Note, that
activating this switch results in higher computation time which scales linear in the window
length.
--zscore-report-subsumed
Report subsumed structures if their z-score is less than that of the enclosing structure
(default=off)
In default mode, RNALfold only reports locally optimal structures if they are no constituents of
another, larger structure with less free energy. In z-score mode, however, such a larger structure
may have a higher z-score, thus may be less informative than the smaller substructure. Using this
switch activates reporting both, the smaller and the larger structure if the z-score of the
smaller is lower than that of the larger.
-b, --backtrack-global
Backtrack a global MFE structure. (default=off)
Instead of just reporting the locally stable secondary structure a global MFE structure can be
constructed that only consists of locally optimal substructures. This switch activates a
post-processing step that takes the locally optimal structures to generate the global MFE
structure which constitutes the MFE value reported in the last line. The respective global MFE
structure is printed just after the inut sequence part on the last line, preceding the global MFE
score. Note, that this option implies -o/--outfile since the locally optimal structures must be
read after the regular prediction step! Also note, that using this this option in combination with
-z/--zscore implies --zscore-hard-filter to ensure proper construction of the global MFE
structure!
-g, --gquad
Incoorporate G-Quadruplex formation into the structure prediction algorithm
(default=off)
--shape=<filename>
Use SHAPE reactivity data to guide structure predictions.
--shapeMethod=D/Z/W
Include SHAPE reactivity data according to a particular method.
(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=type
Convert SHAPE reactivity according to a particular model.
(default=`O')
This method allows one to specify the method or model used to convert SHAPE reactivities to
pairing (or unpaired) probabilities when using the SHAPE approach of Zarringhalam et al. 2012. The
following single letter types are recognized:
'M': Use linear mapping according to Zarringhalam et al. 2012.
'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)
Model Details:
You may tweak the energy model and pairing rules additionally using the following parameters
-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)
-d, --dangles=INT
Change the dangling end model (default=`2')
This option allows one to change the model "dangling end" energy contributions, i.e. those
additional contributions from bases adjacent to helices in free ends and multi-loops 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. RNALfold -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.
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
I.L. Hofacker, B. Priwitzer, and P.F. Stadler (2004), "Prediction of Locally Stable RNA Secondary
Structures for Genome-Wide Surveys", Bioinformatics: 20, pp 186-190
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, 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.
SEE ALSO
RNAplfold(1) RNALalifold(1)
RNALfold 2.5.1 April 2024 RNALFOLD(1)