In genome sequencing, it is a crucial but time-consuming task to detect potential overlaps
between any pair of the input reads, especially those that are ultra-long. The state-of-the-art …

Many bioinformatics applications, such as the optimal pairwise biological sequence
comparison, demand a great quantity of computing resource, thus are excellent candidates …

The well-known Smith–Waterman algorithm is a high-sensitivity method for local sequence
alignment. Unfortunately, the Smith–Waterman algorithm has quadratic time complexity …

The Smith-Waterman algorithm, which produces the optimal local alignment between
pairwise sequences, is universally used as a key component in bioinformatics fields. It is …

A key step in the assembly of genomes is the identification of locally optimal alignments
between small subsections of the genome. The Smith-Waterman algorithm provides an …

Alignment is essential in many areas such as biological, chemical and criminal forensics.
The well‐known Smith–Waterman (SW) algorithm is able to retrieve the optimal local …

Abstract The Smith-Waterman algorithm has a great sensitivity when used for biological
sequence-database searches, but at the expense of high computing-power requirements …

The well-known Smith-Waterman (SW) algorithm is a high-sensitivity method for local
alignments. Unfortunately, SW is expensive in terms of both execution time and memory …

A comparação de sequências biológicas é um problema bastante importante em
Bioinformática. A utilização de métodos exatos para a solução deste problema requer um …

Computational Molecular Biology, Bioinformatics and Genomics are the most intriguing
sciences to understand the human genome and diseases. These sciences use algorithms to …