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- RNAlib-2.1.2
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- Main Page -
- Related Pages + + +
- Precondition:
- The argument 'vars' must contain precalculated partition function matrices, i.e. a call to TwoDpfoldList() preceding this function is mandatory!
- See also:
- TwoDpfoldList()
- Parameters:
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[in] vars the datastructure containing all necessary folding attributes and matrices [in] d1 the distance to reference1 (may be -1) [in] d2 the distance to reference2 - Precondition:
- The argument 'vars' must contain precalculated partition function matrices, i.e. a call to TwoDpfoldList() preceding this function is mandatory!
- See also:
- TwoDpfoldList()
- Parameters:
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[in] vars the datastructure containing all necessary folding attributes and matrices [in] d1 the distance to reference1 (may be -1) [in] d2 the distance to reference2
- Returns:
- A sampled secondary structure in dot-bracket notation
- Returns:
- A sampled secondary structure in dot-bracket notation
-char* TwoDpfold_pbacktrack5 ( -TwoDpfold_vars * -vars, +TwoDpfold_vars * +vars, - int -d1, +int +d1, - int -d2, +int +d2, - unsigned int -length +unsigned int +length ) -+ ++Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability.
This function does essentially the same as TwoDpfold_pbacktrack with the only difference that partial structures, i.e. structures beginning from the 5' end with a specified length of the sequence, are backtracked
-- Note:
- This function does not work (since it makes no sense) for circular RNA sequences!
- Precondition:
- The argument 'vars' must contain precalculated partition function matrices, i.e. a call to TwoDpfoldList() preceding this function is mandatory!
- See also:
- TwoDpfold_pbacktrack(), TwoDpfoldList()
- Parameters:
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[in] vars the datastructure containing all necessary folding attributes and matrices [in] d1 the distance to reference1 (may be -1) [in] d2 the distance to reference2 [in] length the length of the structure beginning from the 5' end - Note:
- This function does not work (since it makes no sense) for circular RNA sequences!
- Precondition:
- The argument 'vars' must contain precalculated partition function matrices, i.e. a call to TwoDpfoldList() preceding this function is mandatory!
- See also:
- TwoDpfold_pbacktrack(), TwoDpfoldList()
- Parameters:
-
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[in] vars the datastructure containing all necessary folding attributes and matrices [in] d1 the distance to reference1 (may be -1) [in] d2 the distance to reference2 [in] length the length of the structure beginning from the 5' end
- Returns:
- A sampled secondary structure in dot-bracket notation
- Returns:
- A sampled secondary structure in dot-bracket notation
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- Generated on Wed Jul 24 2013 13:39:00 for RNAlib-2.1.2 by
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1.8.1.1
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Generated on 11 Apr 2017 for RNAlib-2.1.2 by + + 1.6.1
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-Stochastic Backtracking of Structures from Distance Based Partitioning
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+Stochastic Backtracking of Structures from Distance Based Partitioning
Stochastic Backtracking of Structures from Distance Based Partitioning
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+[Distance based partitioning of the Secondary Structure Space, Stochastic backtracking in the Ensemble]
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Contains functions related to stochastic backtracking from a specified distance class. -More...
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Collaboration diagram for Stochastic Backtracking of Structures from Distance Based Partitioning:
- Collaboration diagram for Stochastic Backtracking of Structures from Distance Based Partitioning:
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+Collaboration diagram for Stochastic Backtracking of Structures from Distance Based Partitioning:
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-Functions | ||||||
| char * | TwoDpfold_pbacktrack (TwoDpfold_vars *vars, int d1, int d2) | |||||
| Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability. | ||||||
| char * | TwoDpfold_pbacktrack5 (TwoDpfold_vars *vars, int d1, int d2, unsigned int length) | |||||
| Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability. | ||||||
Functions | |
| char * | TwoDpfold_pbacktrack (TwoDpfold_vars *vars, int d1, int d2) |
| Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability. | |
| char * | TwoDpfold_pbacktrack5 (TwoDpfold_vars *vars, int d1, int d2, unsigned int length) |
| Sample secondary structure representatives with a specified length from a set of distance classes according to their Boltzmann probability. | |
Detailed Description
+Detailed Description
Contains functions related to stochastic backtracking from a specified distance class.
Function Documentation
- +| char* TwoDpfold_pbacktrack | ( | -TwoDpfold_vars * | -vars, | +TwoDpfold_vars * | +vars, | |
| - | int | -d1, | +int | +d1, | ||
| - | int | -d2 | +int | +d2 | ||
| ) | -+ |
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+Sample secondary structure representatives from a set of distance classes according to their Boltzmann probability.
If the argument 'd1' is set to '-1', the structure will be backtracked in the distance class where all structures exceeding the maximum basepair distance to either of the references reside.
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