Sigmoni: classification of nanopore signal with a compressed pangenome index

Improvements in nanopore sequencing necessitate efficient classification methods, including pre-filtering and adaptive sampling algorithms that enrich for reads of interest. Signal-based approaches circumvent the computational bottleneck of basecalling. But past methods for signal-based classificati...

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Detalles Bibliográficos
Autores principales: Shivakumar, Vikram S., Ahmed, Omar Y., Kovaka, Sam, Zakeri, Mohsen, Langmead, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462034/
https://www.ncbi.nlm.nih.gov/pubmed/37645873
http://dx.doi.org/10.1101/2023.08.15.553308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462034/
https://www.ncbi.nlm.nih.gov/pubmed/37645873
http://dx.doi.org/10.1101/2023.08.15.553308

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