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ViennaRNA-bindings-0.233.1.1: C/ViennaRNA/equilibrium_probs.h

#ifndef VIENNA_RNA_PACKAGE_EQUILIBRIUM_PROBS_H
#define VIENNA_RNA_PACKAGE_EQUILIBRIUM_PROBS_H

/* make this interface backward compatible with RNAlib < 2.2.0 */
#define VRNA_BACKWARD_COMPAT

#include <ViennaRNA/data_structures.h>

#ifdef DEPRECATION_WARNINGS
# ifdef __GNUC__
#  define DEPRECATED(func) func __attribute__ ((deprecated))
# else
#  define DEPRECATED(func) func
# endif
#else
# define DEPRECATED(func) func
#endif

/**
 *  @file     equilibrium_probs.h
 *  @ingroup  pf_fold
 *  @brief    Equilibrium Probability implementations
 * 
 *  This file includes various implementations for equilibrium
 *  probability computations based on the partition function
 *  of an RNA sequence, two concatenated sequences, or a sequence
 *  alignment.
 */

/*
#################################################
# BASE PAIR PROBABILITY RELATED FUNCTIONS       #
#################################################
*/

void  vrna_pairing_probs(vrna_fold_compound_t *vc, char *structure);

/**
 *  @brief Get the mean base pair distance in the thermodynamic ensemble from a probability matrix
 * 
 *  @f$<d> = \sum_{a,b} p_a p_b d(S_a,S_b)@f$\n
 *  this can be computed from the pair probs @f$p_ij@f$ as\n
 *  @f$<d> = \sum_{ij} p_{ij}(1-p_{ij})@f$
 * 
 *  @ingroup pf_fold
 *
 *  @param length The length of the sequence
 *  @param pr     The matrix containing the base pair probabilities
 *  @return       The mean pair distance of the structure ensemble
 */
double vrna_mean_bp_distance_pr(int length, FLT_OR_DBL *pr);

/**
 *  @brief Get the mean base pair distance in the thermodynamic ensemble
 * 
 *  @f$<d> = \sum_{a,b} p_a p_b d(S_a,S_b)@f$\n
 *  this can be computed from the pair probs @f$p_ij@f$ as\n
 *  @f$<d> = \sum_{ij} p_{ij}(1-p_{ij})@f$
 * 
 *  @ingroup pf_fold
 *
 *  @param vc     The fold compound data structure
 *  @return       The mean pair distance of the structure ensemble
 */
double vrna_mean_bp_distance(vrna_fold_compound_t *vc);

/**
 *  @brief  Compute stacking probabilities
 *
 *  For each possible base pair @f$(i,j)@f$, compute the probability of a stack
 *  @f$(i,j)@f$, @f$(i+1, j-1)@f$.
 *
 *  @ingroup pf_fold
 *
 *  @param  vc      The fold compound data structure with precomputed base pair probabilities
 *  @param  cutoff  A cutoff value that limits the output to stacks with @f$ p > \textrm{cutoff} @f$.
 *  @return         A list of stacks with enclosing base pair @f$(i,j)@f$ and probabiltiy @f$ p @f$
 */
vrna_plist_t *vrna_stack_prob(vrna_fold_compound_t *vc, double cutoff);

#endif