Research Topic · Peer-Reviewed

Blast Algorithm

The Blast algorithm is a powerful bioinformatics tool used to search for similarities among nucleotide or protein sequences. It is a heuristic algorithm that rapidly compares entire nucleotide or protein sequences in order to identify similar regions. This is an important tool for developing novel treatments for dis…

📚 0 peer-reviewed articles cited 🔖 ISSN 2643-2811 🗓 Reviewed July 2026

Overview

The Blast algorithm is a powerful bioinformatics tool used to search for similarities among nucleotide or protein sequences. It is a heuristic algorithm that rapidly compares entire nucleotide or protein sequences in order to identify similar regions. This is an important tool for developing novel treatments for disease and has revolutionised the way we look at and analyse genetic data. The algorithm has been applied to many areas of research including sequence alignment, drug discovery and identification of gene variants. The Blast algorithm has become the go-to tool for evolutionary and comparative biology, and its use continues to grow due to its accuracy and speed.

Research published in this journal

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Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.