Clonal-Based Cellular Automata in Bioinformatics

TL;DR

This paper surveys how clonal-based cellular automata can be applied to solve various bioinformatics problems within a unified framework, highlighting their potential for addressing complex biological data analysis tasks.

Contribution

It introduces a novel perspective by relating major bioinformatics problems to a common clonal cellular automata framework, which has not been extensively explored before.

Findings

Identified bioinformatics problems suitable for cellular automata solutions

Proposed a logical framework connecting cellular automata to bioinformatics challenges

Highlighted the potential of clonal cellular automata as a versatile bioinformatics tool

Abstract

This paper aims at providing a survey on the problems that can be easily addressed by clonalbased cellular automata in bioinformatics. Researchers try to address the problems in bioinformatics independent of each problem. None of the researchers has tried to relate the major problems in bioinformatics and find a solution using common frame work. We tried to find various problems in bioinformatics which can be addressed easily by clonal based cellular automata. Extensive literature survey is conducted. We have considered some papers in various journals and conferences for conduct of our research. This paper provides intuition towards relating various problems in bioinformatics logically and tries to attain a common frame work with respect to clonal based cellular automata classifier for addressing the same.