The identification of DNA sequences as exon and intron is a common problem in genome
analysis. The methods used for feature extraction and mapping techniques for the …

Recently, digital signal processing has been widely applied in the study of genomics. One of
the genomic studies is identification of protein-coding regions. Where is a protein coded …

In genomic signal processing applications, digitization of these signals is needed to process
and analyze DNA signals. In the digitization process, the mapping technique to be chosen …

In recent years, a deep learning model called convolutional neural network with an ability of
extracting features of high-level abstraction from minimum preprocessing data has been …

The COVID-19 pandemic declared by the World Health Organization in March 2020 is a
global challenge. This has drawn research interest in various fields, such as drug design …

Using digital signal processing in genomic field is a key of solving most problems in this
area such as prediction of gene locations in a genomic sequence and identifying the defect …

Genomic signal processing (GSP) is based on the use of digital signal processing methods
for the analysis of genomic data. Convolutional neural networks (CNN) are the state‐of‐the …

Abstract Information theory is a branch of mathematics that overlaps with communications,
biology, and medical engineering. Entropy is a measure of uncertainty in the set of …

Bioinformatics is the biological study which applies programming techniques for more
understanding and analysis of living objects such as the study of genome structure. The …

The exceptional speed in increase of genomic data at public databases requires advanced
computational tools to perform quick gene analysis. The tools can be devised with the aid of …