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LOCARNA_P(1)			  User Commands 		    LOCARNA_P(1)

NAME
     locarna_p - manual page for locarna_p (LocARNA 2.0.0)

DESCRIPTION
     locarna_p - pairwise partition function of RNA alignments.

     Computes  base and base pair match probabilities from alignment partitition
     functions.

     USAGE: locarna_p [options] <Input 1> <Input 2>

     locarna_p computes sequence and structure match probabilities  from  parti-
     tion  functions of locarna pairwise alignments, i.e. from fast simultaneous
     folding and alignment based on two RNA sequences (or alignments).

   Input and Constraints
     Please see the documentation of locarna for inputs and  the  possible  con-
     straints specifications.

   Output
     Probabilities  of	base and base pair matches can be written to files. (The
     total partition function is reported to standard out.)

OPTIONS
     -h, --help
	    Print this help.

     -V, --version
	    Print only version string.

     -v, --verbose
	    Be verbose. Prints input parameters, sequences and size information.

     -q, --quiet
	    Be quiet.

   Scoring parameters:
     -i, --indel=<score>(-150)
	    Indel score. Score contribution of each  single  base  insertion  or
	    deletion.	Indel  opening	score  and indel score define the affine
	    scoring of gaps.

     --indel-opening=<score>(-750)
	    Indel opening score. Score contribution of opening an  insertion  or
	    deletion,  i.e.  score  for a consecutive run of deletions or inser-
	    tions. Indel opening score and indel score define the affine scoring
	    of gaps.

     --ribosum-file=<f>(RIBOSUM85_60)
	    File specifying the Ribosum base and  base-pair  similarities.  [de-
	    fault: use RIBOSUM85_60 without requiring a Ribosum file.]

     --use-ribosum=<bool>(true)
	    Use  ribosum  scores for scoring base matches and base pair matches;
	    note that tau=0 suppresses any effect on the latter.

     -m, --match=<score>(50)
	    Set score contribution of a base match (unless ribosum scoring).

     -M, --mismatch=<score>(0)
	    Set score contribution of a base mismatch (unless ribosum scoring).

     -s, --struct-weight=<score>(200)
	    Maximal weight of 1/2 arc match.  Balances	structure  vs.	sequence
	    score contributions.

     -e, --exp-prob=<prob>
	    Expected  base  pair probability. Used as background probability for
	    base pair scoring [default: calculated from sequence length].

     -t, --tau=<factor>(50)
	    Tau factor. Factor for contribution of sequence similarity in an arc
	    match (in percent). tau=0 does not penalize any sequence information
	    including compensatory  mutations  at  arc	matches,  while  tau=100
	    scores sequence similarity at ends of base matches (if a scoring ma-
	    trix like ribosum is used, this adds the contributions for base pair
	    match from the matrix). [default tau=0!]

     --temperature-alipf=<int>(300)
	    Temperature for the /sequence alignment/ partition functions used by
	    the probcons-like sequence-based match/trace probability computation
	    (this  temperature	is  different from the 'physical' temperature of
	    RNA folding!).

   Partition function representation:
     --pf-scale=<scale>(1.0)
	    Factor for scaling the partition functions. Use in	order  to  avoid
	    overflow.

     --extended-pf
	    Use extended precision for partition function values. This increases
	    run-time and space (less than 2x), however enables handling signifi-
	    cantly larger instances.

     --quad-pf
	    Use  quad  precision for partition function values. Even more preci-
	    sion than extended	pf,  but  usually  much  slower  (overrides  ex-
	    tended-pf).

   Output:
     --write-arcmatch-probs=<file>
	    Write arcmatch probabilities

     --write-basematch-probs=<file>
	    Write basematch probabilities

     -a, --min-am-prob=<amprob>(0.001)
	    Minimal  arc match probability. Write probabilities for only the arc
	    matchs of at least this probability.

     -b, --min-bm-prob=<bmprob>(0.001)
	    Minimal base match probability. Write  probabilities  for  only  the
	    base matchs of at least this probability.

     --include-am-in-bm
	    Include arc match cases in base match probabilities

     --stopwatch
	    Print run time informations.

   Heuristics for speed accuracy trade off:
     -p, --min-prob=<prob>(0.001)
	    Minimal  probability.  Only  base pairs of at least this probability
	    are taken into account.

     --max-bps-length-ratio=<factor>(0.0)
	    Maximal ratio of #base pairs divided by sequence length. This serves
	    as a second filter on the "significant" base pairs. [default: 0.0  =
	    no effect].

     -D, --max-diff-am=<diff>(-1)
	    Maximal difference for sizes of matched arcs. [-1=off]

     -d, --max-diff=<diff>(-1)
	    Maximal  difference  for  positions of alignment traces (and aligned
	    bases).  [-1=off]

     --max-diff-at-am=<diff>(-1)
	    Maximal difference for positions of alignment traces  at  arc  match
	    ends.  [-1=off]

     --max-diff-aln=<aln file>()
	    Maximal  difference  relative  to  given alignment (file in clustalw
	    format)

     --max-diff-pw-aln=<alignment>()
	    Maximal difference relative to given alignment (string, delim=AMPER-
	    SAND)

     --max-diff-relax
	    Relax deviation constraints in multiple aligmnent

     --min-trace-probability=<probability>(1e-5)
	    Minimal sequence alignment probability of potential  traces  (proba-
	    bility-based sequence alignment envelope) [default=1e-4].

   Computed probabilities:
     --fragment-match-probs=<"i j k l">()
	    Requests probabilities for the match of fragments [i..j] and [k..l].
	    Accepts a ';' separated list of ranges.

   Constraints:
     --maxBPspan=<span>(-1)
	    Limit maximum base pair span [default=off].

     --relaxed-anchors
	    Use  relaxed  semantics of anchor constraints [default=strict seman-
	    tics].

   Input files:
	    The tool is called with two input files <Input  1>	and  <Input  2>,
	    which specify the two input sequences or input alignments. Different
	    input  formats  (Fasta,  Clustal,  Stockholm,  LocARNA PP, ViennaRNA
	    postscript dotplots) are accepted and automatically  recognized  (by
	    file  content); the two input files can be in different formats. Ex-
	    tended variants of the Clustal and Stockholm formats enable specify-
	    ing anchor and structure constraints.

DISCLAIMER
     locarna_p is a low level tool; most often this tool is used indirectly,  by
     calling  mlocarna	with  --probabilistic.	Note that the performance of lo-
     carna_p (as well as basically all tools in the LocARNA  package)  is  often
     significantly improved by the use of suitable application-specific options,
     deviating from the default settings.

AVAILABILITY
     The  latest  LocARNA  package  release  is  available  online  at at Github
     https://github.com/s-will/LocARNA	      and	  http://www.bioinf.uni-
     freiburg.de/Software/LocARNA/

COPYING (LICENSE)
     Copyright	2005- Sebastian Will.  The LocARNA package is released under GNU
     Public License v3.0

REFERENCES
     Sebastian Will, Tejal Joshi, Ivo L. Hofacker, Peter F.  Stadler,  and  Rolf
     Backofen. LocARNA-P: Accurate boundary prediction and improved detection of
     structural    RNAs.    RNA,    18	 no.   5   pp.	 900-914,   2012.   doi:
     10.1261/rna.029041.111

EXAMPLES
     Please see the documentation of locarna for call and input constraint exam-
     ples.

AUTHOR
     This man page is written and maintained by Sebastian Will it is part of the
     LocARNA package.

     First versions of locarna_p and its aligner class	were  written  by  Tejal
     Joshi.

REPORTING BUGS
     Report bugs to <will (at) informatik.uni-freiburg.de>.

locarna_p (LocARNA 2.0.0)	    July 2024			    LOCARNA_P(1)

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