DNA sequence alignment datasets based on NW algorithm
收藏DataCite Commons2021-02-05 更新2025-04-16 收录
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https://ieee-dataport.org/documents/dna-sequence-alignment-datasets-based-nw-algorithm
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资源简介：
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. Our implementation is valid for extremely long sequences by using the divide-and-conquer strategy.
提供机构：
IEEE DataPort
创建时间：
2021-02-05
