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

Paul, Tirthankar; Vainio, Seppo; Roning, Juha (2020-02-20)
 
Avaa tiedosto
Lataukset: 

URL:
https://doi.org/10.1109/ISSPIT47144.2019.9001825

Paul, Tirthankar
Vainio, Seppo
Roning, Juha
Institute of Electrical and Electronics Engineers
20.02.2020

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

https://rightsstatements.org/vocab/InC/1.0/
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/ISSPIT47144.2019.9001825
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020041618901
Tiivistelmä

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.

Kokoelmat