The optimal metric for viral genome space.
Alignment-free methods
Classification
Feature integration
Natural vector
Optimal metric
Viral genomes
Journal
Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369
Informations de publication
Date de publication:
Dec 2024
Dec 2024
Historique:
received:
28
11
2023
revised:
22
04
2024
accepted:
04
05
2024
medline:
28
5
2024
pubmed:
28
5
2024
entrez:
28
5
2024
Statut:
epublish
Résumé
Understanding the structural similarity between genomes is pivotal in classification and phylogenetic analysis. As the number of known genomes rockets, alignment-free methods have gained considerable attention. Among these methods, the natural vector method stands out as it represents sequences as vectors using statistical moments, enabling effective clustering based on families in biological taxonomy. However, determining an optimal metric that combines different elements in natural vectors remains challenging due to the absence of a rigorous theoretical framework for weighting different
Identifiants
pubmed: 38803517
doi: 10.1016/j.csbj.2024.05.005
pii: S2001-0370(24)00151-X
pmc: PMC11128839
doi:
Types de publication
Journal Article
Langues
eng
Pagination
2083-2096Informations de copyright
© 2024 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
Déclaration de conflit d'intérêts
None.