Probalign

Probalign is a sequence alignment tool that calculates a maximum expected accuracy alignment using partition function posterior probabilities. 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.

Alignment score

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

• a similarity function $\sigma (x,y)$ (e.g. PAM, BLOSUM,...)
• affine gap penalty: $g(k)=\alpha +\beta k$

The score $S(a)$ of an alignment a is defined as:

$S(a)=\sum _{x_i-y_j\in a}\sigma (x_i,y_j)+\text{gap cost}$

Now the boltzmann weighted score of an alignment a is:

$e^{\frac{S(a)}{T}}=e^{\frac{\sum _{x_i-y_j\in a}\sigma (x_i,y_j)+\text{gap cost}}{T}}=\left(\prod _{x_i-y_i\in a}{e}^{\frac{\sigma (x_i,y_j)}{T}}\right)\cdot e^{\frac{gapcost}{T}}$

Where $T$ is a scaling factor.

The probability of an alignment assuming boltzmann distribution is given by

$Pr[a|x,y]=\frac{e^{\frac{S(a)}{T}}}{Z}$

Where $Z$ is the partition function, i.e. the sum of the boltzmann weights of all alignments.

Dynamic programming

Let $Z_{i,j}$ denote the partition function of the prefixes $x_0,x_1,...,x_i$ and $y_0,y_1,...,y_j$. Three different cases are considered:

1. $Z_{i,j}^M:$ the partition function of all alignments of the two prefixes that end in a match.
2. $Z_{i,j}^I:$ the partition function of all alignments of the two prefixes that end in an insertion $(-,y_j)$.
3. $Z_{i,j}^D:$ the partition function of all alignments of the two prefixes that end in a deletion $(x_i,-)$.

Then we have: $Z_{i,j}=Z_{i,j}^M+Z_{i,j}^D+Z_{i,j}^I$

Initialization

The matrixes are initialized as follows:

• $Z_{0,j}^M=Z_{i,0}^M=0$
• $Z_{0,0}^M=1$
• $Z_{0,j}^D=0$
• $Z_{i,0}^I=0$

Recursion

The partition function for the alignments of two sequences $x$ and $y$ is given by $Z_{|x|,|y|}$, which can be recursively computed:

• $Z_{i,j}^M=Z_{i-1,j-1}\cdot e^{\frac{\sigma (x_i,y_j)}{T}}$
• $Z_{i,j}^D=Z_{i-1,j}^D\cdot e^{\frac{\beta }{T}}+Z_{i-1,j}^M\cdot e^{\frac{g(1)}{T}}+Z_{i-1,j}^I\cdot e^{\frac{g(1)}{T}}$
• $Z_{i,j}^I$ analogously

Base pair probability

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

$P(x_i-y_j|x,y)=\frac{Z_{i-1,j-1}\cdot e^{\frac{\sigma (x_i,y_j)}{T}}\cdot Z{\text{'}}_{i^{\prime },j^{\prime }}}{Z_{|x|,|y|}}$

$Z^{\prime },i^{\prime },j^{\prime }$ are the respective values for the recalculated $Z$ with inversed base pair strings.

See also

• ProbCons
• Multiple Sequence Alignment

External links

• Probalign Webservice