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T. Paul, S. Vainio and J. Roning, "Haar wavelet based approach for Short Tandem Repeats(STR) Detection," 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Ajman, United Arab Emirates, 2019, pp. 1-6, https://doi.org/10.1109/ISSPIT47144.2019.9001825

Haar wavelet based approach for short tandem repeats (STR) detection

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Author: Paul, Tirthankar1; Vainio, Seppo2; Roning, Juha1
Organizations: 1Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
2Biochemistry and Molecular Medicine, Laboratory of Development Biology, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020041618901
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-04-16
Description:

Abstract

Short Tandem Repeats (STRs)/ Microsatellites are the key factors to find the individuality on a DNA. These are playing an essential role in forensic science. Existing tools for identifying the whole series of STRs/microsatellites necessitate a complex computational method such as fast fourier transform, pattern recognition etc. The study reflects, identifying the STR regions, involving signal processing most preferably Haar wavelet and covering the complete range of STRs in the long chain of DNA sequence. The process demands less computational complexity and time compared to the other tools.

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Series: IEEE International Symposium on Signal Processing and Information Technology
ISSN: 2162-7843
ISSN-L: 2162-7843
ISBN: 978-1-7281-5341-4
ISBN Print: 978-1-7281-5342-1
Pages: 1 - 6
Article number: 9001825
DOI: 10.1109/ISSPIT47144.2019.9001825
OADOI: https://oadoi.org/10.1109/ISSPIT47144.2019.9001825
Host publication: 19th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 10-12 Dec. 2019
Conference: IEEE International Symposium on Signal Processing and Information Technology
Type of Publication: A4 Article in conference proceedings
Field of Science: 217 Medical engineering
113 Computer and information sciences
Subjects:
Haar Wavelet
Short Tandem Repeat
Signal Processing
Wavelet Transform
Article
Funding: InfoTech Oulu Doctoral Program has supported the work. We thank our colleagues from the University of Oulu, who provided insight and expertise that greatly assisted the research.
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