Abstract

Bioinformatics in the present day has been firmly established as a regulator in genomics. In recent times, applications of Signal processing in exon prediction have gained a lot of attention. The exons carry protein information. Proteins are composed of connected constituents known as amino acids that characterize the specific function. Conversion of the nucleotide character string into a numerical sequence is the gateway before analyzing it through signal processing methods. This numeric encoding is the mathematical descriptor of nucleotides and is based on some statistical properties of the structure of nucleic acids. Since the type of encoding extremely affects the exon detection accuracy, this paper is devised for the review of existing encoding (mapping) schemes. The comparative analysis is formulated to emphasize the importance of the genetic code setting of amino acids considered for application related to computational elucidation for exon detection. This work covers much helpful information for future applications.

摘要

当今的生物信息学已被牢固地确立为基因组学的调节器。近年来，信号处理在外显子预测中的应用受到了广泛关注。外显子携带蛋白质信息。蛋白质由称为氨基酸的连接成分组成，这些成分具有特定功能。将核苷酸字符串转换为数字序列是通过信号处理方法对其进行分析之前的网关。这种数字编码是核苷酸的数学描述，基于核酸结构的一些统计特性。由于编码类型极大地影响了外显子检测的准确性，因此本文旨在回顾现有的编码（映射）方案。比较分析的制定强调了氨基酸遗传密码设置的重要性，这些氨基酸被考虑用于与外显子检测的计算阐明相关的应用。这项工作涵盖了许多对未来应用程序有用的信息。