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'''Probalign''' is a sequence alignment tool that calculates a maximum expected accuracy alignment using partition function posterior probabilities.<ref>U. Roshan and D. R. Livesay, Probalign: multiple sequence alignment using partition function posterior probabilities, Bioinformatics, 22(22):2715-21, 2006 ([http://bioinformatics.oxfordjournals.org/cgi/reprint/btl472?ijkey=GR3m5VV6yTz1jEx&keytype=ref PDF])</ref> Base pair probabilities are estimated using an estimate similar to  [[Boltzmann distribution]]. The partition function is calculated using a [[dynamic programming]] approach.
 
== Algorithm ==
The following describes the algorithm used by probalign to determine the base pair probabilities.<ref>[http://www.bioinf.uni-freiburg.de//Lehre/Courses/2011_WS/V_BioinfoII/probalign-partition-func.pdf Lecture "Bioinformatics II" at University of Freiburg]</ref>
 
=== Alignment score ===
To score an alignment of two sequences two things are needed:
* a similarity function <math>\sigma(x,y)</math> (e.g. [[PAM matrix|PAM]], [[BLOSUM]],...)
* affine gap penalty: <math> g(k) = \alpha + \beta k</math>
The score <math>S(a)</math> of an alignment a is defined as:  
 
<math> S(a) = \sum_{x_i-y_j \in a} \sigma(x_i,y_j) + \text{gap cost}</math>
 
Now the boltzmann weighted score of an alignment a is:
 
<math> e^{\frac{S(a)}{T}} = e^{\frac{\sum_{x_i-y_j \in a} \sigma(x_i,y_j) + \text{gap cost}}{T}} =
\left( \prod_{x_i - y_i \in a} e^{\frac{\sum_{x_i-y_j \in a} \sigma(x_i,y_j)}{T}} \right) \cdot e^{\frac{gapcost}{T}}</math>
 
Where <math>T</math> is a scaling factor.
 
The probability of an alignment assuming boltzmann distribution is given by
 
<math>Pr[a|x,y] = \frac{e^{\frac{S(a)}{T}}}{Z}</math>
 
Where <math>Z</math> is the partition function, i.e. the sum of the boltzmann weights of all alignments.
 
=== Dynamic Programming ===
Let <math>Z_{i,j}</math> denote the partition function of the prefixes <math>x_0,x_1,...,x_i</math> and <math>y_0,y_1,...,y_j</math>. Three different cases are considered:
# <math>Z^{M}_{i,j}:</math> the partition function of all alignments of the two prefixes that end in a match.
# <math>Z^{I}_{i,j}:</math> the partition function of all alignments of the two prefixes that end in an insertion <math>(-,y_j)</math>.
# <math>Z^{D}_{i,j}:</math> the partition function of all alignments of the two prefixes that end in a deletion <math>(x_i,-)</math>.
Then we have: <math>Z_{i,j} = Z^{M}_{i,j} + Z^{D}_{i,j} + Z^{I}_{i,j}</math>
 
==== Initialization ====
The matrixes are initialized as follows:
* <math>Z^{M}_{0,j} = Z^{M}_{i,0} = 0</math>
* <math>Z^{M}_{0,0} = 1</math>
* <math>Z^{D}_{0,j} = 0</math>
* <math>Z^{I}_{i,0} = 0</math>
 
==== Recursion ====
The partition function for the alignments of two sequences <math>x</math> and <math>y</math> is given by <math>Z_{|x|,|y|}</math>, which can be recursively computed:
* <math>Z^{M}_{i,j} = Z_{i-1,j-1} \cdot e^{\frac{\sigma(x_i,y_j)}{T}}</math>
* <math>Z^{D}_{i,j} = Z^{D}_{i-1,j} \cdot e^{\frac{\beta}{T}} + Z^{M}_{i-1,j} \cdot e^{\frac{g(1)}{T}} + Z^{I}_{i-1,j} \cdot e^{\frac{g(1)}{T}}</math>
* <math>Z^{I}_{i,j}</math> analogously
 
=== Base pair probability ===
Finally the probability that positions <math>x_i</math> and <math>y_j</math> form a base pair is given by:
 
<math>P(x_i - y_j|x,y) = \frac{Z_{i-1,j-1} \cdot e^{\frac{\sigma(x_i,y_j)}{T}} \cdot Z'_{i',j'}}{Z_{|x|,|y|}}</math>
 
<math> Z', i', j'</math> are the respective values for the recalculated <math>Z</math> with inversed base pair strings.
 
== See also ==
* [[ProbCons]]
* [[Multiple Sequence Alignment]]
 
== References ==
{{Reflist}}
 
== External links ==
* [http://probalign.njit.edu/probalign/login Probalign Webservice]
 
[[Category:Sequence alignment algorithms]]

Revision as of 11:53, 24 February 2013

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.

Algorithm

The following describes the algorithm used by probalign to determine the base pair probabilities.[2]

Alignment score

To score an alignment of two sequences two things are needed:

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

Let denote the partition function of the prefixes and . Three different cases are considered:

  1. the partition function of all alignments of the two prefixes that end in a match.
  2. the partition function of all alignments of the two prefixes that end in an insertion .
  3. the partition function of all alignments of the two prefixes that end in a deletion .

Then we have:

Initialization

The matrixes are initialized as follows:

Recursion

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

Base pair probability

Finally the probability that positions and form a base pair is given by:

are the respective values for the recalculated with inversed base pair strings.

See also

References

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External links

  1. U. Roshan and D. R. Livesay, Probalign: multiple sequence alignment using partition function posterior probabilities, Bioinformatics, 22(22):2715-21, 2006 (PDF)
  2. Lecture "Bioinformatics II" at University of Freiburg