Biopython pairwise 2 - can I make it score an existing alignment?
1
0
Entering edit mode
6.4 years ago

From Biopython, I can use pairwise2 to align two sequences and provide me with the score. Is there a way to get pairwise2 to NOT align, but to score an existing alignment? Essentially I'm looking for a way to do sum-of-pairs with a custom weight matrix (e.g. match = 1, indeed = -3, mismatch = -1). It seems like pairwise2 has a score-only function but I can't for the life of me figure out how to implement it....

biopython python pairwise2 alignment score • 2.5k views
ADD COMMENT
1
Entering edit mode
5.7 years ago
Markus ▴ 320

No you can't do this with Biopython's pairwise2. The score_only parameter will still cause pairwise2.align to calculate an alignment from two sequences, it will just not return the alignment but only the maximium score (that it has calculated).

I have written a small function which calculates the score of a given alignment (supplied as the two aligned sequences), that may be useful for you:


def evaluate_score(seq1, seq2, match, mismatch, open_gap, extend_gap,
                   penalize_extend_when_opening=False, force_generic=False,
                   penalize_end_gaps=True):
    openA = False
    openB = False
    if penalize_extend_when_opening:
        open_gap += extend_gap
    score = 0
    for baseA, baseB in zip(seq1, seq2):
        if baseA !='-' and baseB != '-':
            openA, openB = False, False
            if baseA == baseB:
                score += match
            else:
                score += mismatch
        elif baseA == '-':
            if not openA:
                score += open_gap
                openA = True
                openB = False
            else:
                score += extend_gap
        elif baseB == '-':
            if not openB:
                score += open_gap
                openB = True
                openA = False
            else:
                score += extend_gap
    return score * 1.0

The gap symbol must be -, match, mismatch, open_gap, extend_gap are the respective scores; penalties are given as negative scores.

ADD COMMENT

Login before adding your answer.

Traffic: 2251 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6