Estimating the k-mer Coverage Frequencies in Genomic Datasets: A Comparative Assessment of the State-of-the-art

BACKGROUND: In bioinformatics, estimation of k-mer abundance histograms or just enumerat-ing the number of unique k-mers and the number of singletons are desirable in many genome sequence analysis applications. The applications include predicting genome sizes, data pre-processing for de Bruijn graph...

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Detalles Bibliográficos
Autores principales: Manekar, Swati C., Sathe, Shailesh R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446480/
https://www.ncbi.nlm.nih.gov/pubmed/31015787
http://dx.doi.org/10.2174/1389202919666181026101326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446480/
https://www.ncbi.nlm.nih.gov/pubmed/31015787
http://dx.doi.org/10.2174/1389202919666181026101326

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