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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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 |