Crate seqalign

The goal of this module is to optimize the global sequence alignment process of many sequences implementing the Needleman-Wunsch algorithm And getting help of the Rayon Crate to parallelize the execution.

Structs

Matrix

A wrapper for a 2D vector.

Functions

PyInit_seqalign⚠	This autogenerated function is called by the python interpreter when importing the module.
compare_samples	Just a wrapper for the needleman_wunsch function to be used in python.
needleman_wunsch	Performs global sequence alignment of two &str using the Needleman-Wunsch classic algorithm. The returning value is the distances between the 2 samples, computed considering a MATCH a value of distance 0, a GAP distance of 2 and a MISMATCH distance of 1.
par_compare	Gets a Vector of tuples that contains 2 keys of the HashMap parameter, then compare the samples contained on the HashMap 2 by 2 through multi-processing. To do that, the parallel iterator and map functions of the Rayon Crate are used.