Title
Fourier transform in Bioinformatics and Biomedicine
Author
Paul Shapshak
Affiliation
Department of Internal Medicine, Division of Infectious Diseases and International Health, Tampa General Hospital, Morsani College of Medicine, University of South Florida, Tampa, Florida 33606, USA; *Corresponding author
Paul Shapshak - E - mail: pshapshak@gmail.com
Article Type
Editorial
Date
Received April 1, 2025; Revised April 30, 2025; Accepted April 30, 2025, Published April 30, 2025
Abstract
This brief paper provides an overview of the application of Fourier Transforms to bioinformatics and biomedicine. Fourier analysis and transforms have been applied extensively to fields including for example, cosmology, engineering, and physics. In the fields of Bioinformatics and Biomedicine less has been accomplished. The application of Fourier analysis will amplify the accuracy and insights of these fields. Fourier analysis will also widen their scopes. This will improve understanding of basic fundamental biochemical and molecular processes and will assist in improving the accuracy and speed of medical and clinical diagnosis and treatments.
Keywords
Fourier transform (FT), bioinformatics, biomedicine, epidemiology, virology, genomics, sequences, DNA, RNA, protein, sequence analysis, alignments, phylogenetics, gene expression, protein interactions, networks, chromatin, simulation, molecular biology, signaling, biomedical signal processing, digital signal processing, wavelets, quantum computing.
Citation
Shapshak, Bioinformation 21(4): 575-577 (2025)
Edited by
Paul Shapshak
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
