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Category: Volume 12 Issue 02 February 2024
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Title: Digital Signal Processing Approaches in the field of Genomics: A Recent Trend

Authors: Shivani Saxena, Ahsan Z, Rizvi

 DOI: https://dx.doi.org/10.18535/jmscr/v12i02.10

Abstract

Digital signal processing (DSP) techniques have emerged as powerful tools in the field of genomics, enabling researchers to extract valuable insights from complex genetic data. This research paper presents a comprehensive analysis of the recent trends and advance- ments in applying DSP approaches to genomics. The objective is to provide an overview of the transformative role of DSP  in  genomic  data  analysis,  variant  calling, and interpretation. By leveraging DSP methods such as filtering, feature extraction, time-frequency analysis, and machine learning algorithms, researchers can enhance the quality of genetic signals, identify  genetic  variants, and gain a deeper understanding of genomic processes. The paper highlights key applications of DSP in genomics, including DNA sequence analysis, RNA expression pro- filing, epigenetics, and genome-wide association studies. Additionally, the challenges associated with applying DSP techniques in genomics, such as signal noise, data in- tegration, and computational complexity, are discussed. This research paper serves as a valuable resource for researchers, bioinformaticians, and geneticists seeking to harness the power of DSP in genomics, advancing our knowledge of genetic diseases and paving the way for personalized medicine and precision healthcare.

Keywords: Digital signal processing, Genome analysis, Feature extraction, DNA sequence analysis, RNA expression profiling.

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Corresponding Author

Shivani Saxena

Dept. of Computer Sciences and Engineering Institute of Advanced Research Gandhinagar, India