SPRISS: approximating frequent k-mers by sampling reads, and applications

MOTIVATION: The extraction of k-mers is a fundamental component in many complex analyses of large next-generation sequencing datasets, including reads classification in genomics and the characterization of RNA-seq datasets. The extraction of all k-mers and their frequencies is extremely demanding in...

Descripción completa

Detalles Bibliográficos
Autores principales: Santoro, Diego, Pellegrina, Leonardo, Comin, Matteo, Vandin, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237683/
https://www.ncbi.nlm.nih.gov/pubmed/35583271
http://dx.doi.org/10.1093/bioinformatics/btac180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237683/
https://www.ncbi.nlm.nih.gov/pubmed/35583271
http://dx.doi.org/10.1093/bioinformatics/btac180

Ejemplares similares