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Probalign is a sequence alignment tool that calculates a maximum expected accuracy alignment using partition function posterior probabilities.[1] Base pair probabilities are estimated using an estimate similar to Boltzmann distribution. The partition function is calculated using a dynamic programming approach.
The following describes the algorithm used by probalign to determine the base pair probabilities.[2]
To score an alignment of two sequences two things are needed:
- a similarity function
(e.g. PAM, BLOSUM,...)
- affine gap penalty:

The score
of an alignment a is defined as:
Now the boltzmann weighted score of an alignment a is:
Where
is a scaling factor.
The probability of an alignment assuming boltzmann distribution is given by
Where
is the partition function, i.e. the sum of the boltzmann weights of all alignments.
Dynamic Programming
[edit]
Let
denote the partition function of the prefixes
and
. Three different cases are considered:
the partition function of all alignments of the two prefixes that end in a match.
the partition function of all alignments of the two prefixes that end in an insertion
.
the partition function of all alignments of the two prefixes that end in a deletion
.
Then we have:
The matrixes are initialized as follows:




The partition function for the alignments of two sequences
and
is given by
, which can be recursively computed:


analogously
Base pair probability
[edit]
Finally the probability that positions
and
form a base pair is given by:
- ^ U. Roshan and D. R. Livesay, Probalign: multiple sequence alignment using partition function posterior probabilities, Bioinformatics, 22(22):2715-21, 2006 (PDF)
- ^ Lecture "Bioinformatics II" at University of Freiburg [1]
Probalign Webservice