A Parallel Network Alignment Algorithm for Biological Networks
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Date
2022
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Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
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Abstract
We propose a new parallel algorithm based on a distributed matching algorithm for the network alignment problem which can be used to find similarities in biological networks. This information may be used to form phylogenetic trees and consequently understand the evolution process better. We provide preliminary implementation results in sample networks which provide significant speedups with respect to sequential algorithms. © 2023 Elsevier B.V. All rights reserved.
Description
Keywords
Algorithm, Biological Network, Evolution, Network Alignment, Parallel, Alignment, Alignment Algorithms, Alignment Problems, Biological Networks, Evolution, Evolution Process, Matching Algorithm, Network Alignments, Parallel, Parallel Network, Phylogenetic Trees, Bioinformatics, Alignment, Alignment algorithms, Alignment Problems, Biological networks, Evolution, Evolution process, Matching algorithm, Network alignments, Parallel, Parallel network, Phylogenetic trees, Bioinformatics, Biological Network, Evolution, Parallel, Algorithm, Network Alignment
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Source
3rd International Informatics and Software Engineering Conference IISEC 2022
Volume
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Start Page
1
End Page
6
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CrossRef : 1
Scopus : 1
SCOPUS™ Citations
1
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