python3-edlib
library for sequence alignment using edit distance (Python3 module)
Description
A lightweight and super fast C/C++ library for sequence alignment using edit distance. Calculating edit distance of two strings is as simple as: edlibAlign("hello", 5, "world!", 6,
edlibDefaultAlignConfig()).editDistance;
Features
* Calculates edit distance (Levehnstein distance).
* It can find optimal alignment path (instructions how to transform
first sequence into the second sequence).
* It can find just the start and/or end locations of alignment path -
can be useful when speed is more important than having exact
alignment path.
* Supports multiple alignment methods: global(NW), prefix(SHW) and
infix(HW), each of them useful for different scenarios.
* You can extend character equality definition, enabling you to e.g.
have wildcard characters, to have case insensitive alignment or to
work with degenerate nucleotides.
* It can easily handle small or very large sequences, even when finding
alignment path, while consuming very little memory.
* Super fast thanks to Myers's bit-vector algorithm.
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Homepage
https://github.com/Martinsos/edlib
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