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A Computational Framework for Pattern Detection on Unaligned Sequences: An Application on SARS-CoV-2 Data

The exponential growth of genome sequences available has spurred research on pattern detection with the aim of extracting evolutionary signal. Traditional approaches, such as multiple sequence alignment, rely on positional homology in order to reconstruct the phylogenetic history of taxa. Yet, minin...

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Detalles Bibliográficos
Autores principales: Pechlivanis, Nikolaos, Togkousidis, Anastasios, Tsagiopoulou, Maria, Sgardelis, Stefanos, Kappas, Ilias, Psomopoulos, Fotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194296/
https://www.ncbi.nlm.nih.gov/pubmed/34122498
http://dx.doi.org/10.3389/fgene.2021.618170

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