Cargando…
CMash: fast, multi-resolution estimation of k-mer-based Jaccard and containment indices
MOTIVATION: K-mer-based methods are used ubiquitously in the field of computational biology. However, determining the optimal value of k for a specific application often remains heuristic. Simply reconstructing a new k-mer set with another k-mer size is computationally expensive, especially in metag...
Autores principales: | Liu, Shaopeng, Koslicki, David |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235470/ https://www.ncbi.nlm.nih.gov/pubmed/35758788 http://dx.doi.org/10.1093/bioinformatics/btac237 |
Ejemplares similares
-
The minimizer Jaccard estimator is biased and inconsistent
por: Belbasi, Mahdi, et al.
Publicado: (2022) -
Sparse and skew hashing of K-mers
por: Pibiri, Giulio Ermanno
Publicado: (2022) -
MOJITOO: a fast and universal method for integration of multimodal single-cell data
por: Cheng, Mingbo, et al.
Publicado: (2022) -
Fast and interpretable genomic data analysis using multiple approximate kernel learning
por: Bektaş, Ayyüce Begüm, et al.
Publicado: (2022) -
QuCo: quartet-based co-estimation of species trees and gene trees
por: Rabiee, Maryam, et al.
Publicado: (2022)