Amr Ezz El-Din Rashed, Hanan M. Amer, and Hossam El~Din Moustafa

This study presented six datasets for DNA/RNA sequence alignment for one of the most common alignment algorithms, namely, the Needleman–Wunsch (NW) algorithm. This research proposed a fast and parallel implementation of the NW algorithm by using machine learning techniques. This study is an extension and improved version of our previous work . The current implementation achieves 99.7% accuracy using a multilayer perceptron with ADAM optimizer and up to 2912 giga cell updates per second on two real DNA sequences with a of length 4.1 M nucleotides.

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[1] Amr Rashed, "DNA sequence alignment datasets based on NW algorithm", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/45dr-8p86. Accessed: Feb. 28, 2024.
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doi = {10.21227/45dr-8p86},
url = {http://dx.doi.org/10.21227/45dr-8p86},
author = {Amr Rashed },
publisher = {IEEE Dataport},
title = {DNA sequence alignment datasets based on NW algorithm},
year = {2021} }
TY - DATA
T1 - DNA sequence alignment datasets based on NW algorithm
AU - Amr Rashed
PY - 2021
PB - IEEE Dataport
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Amr Rashed. (2021). DNA sequence alignment datasets based on NW algorithm. IEEE Dataport. http://dx.doi.org/10.21227/45dr-8p86
Amr Rashed, 2021. DNA sequence alignment datasets based on NW algorithm. Available at: http://dx.doi.org/10.21227/45dr-8p86.
Amr Rashed. (2021). "DNA sequence alignment datasets based on NW algorithm." Web.
1. Amr Rashed. DNA sequence alignment datasets based on NW algorithm [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/45dr-8p86
Amr Rashed. "DNA sequence alignment datasets based on NW algorithm." doi: 10.21227/45dr-8p86