bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. many computational algorithms have been applied for solving the sequence alignment problem. dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods applied t...

Bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. Many computational algorithms have been applied for solving the sequence alignment problem. Dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods appli...

background: stearoyl-coa desaturase (scd) is a key enzyme that converts saturated fatty acids (sfas) to monounsaturated fatty acids (mufas) in fat biosynthesis. despite being crucial for interpreting scds’ roles across species, the evolutionary relationship of scd proteins across species has yet to be elucidated. this study aims to present this evolutionary relationship based on amino acid sequ...

An algorithm for progressive multiple alignment of sequences with insertions " , 1. Introduction The problem of sequence alignment is to find the patterns of sequence conservation and similarity between pairs or sets of given sequences. In biological contexts, similarity between biological sequences usually amounts to either functional or structural similarities or divergence from a common ance...