VC@Scale: Scalable and high-performance variant calling on cluster environments

BACKGROUND: Recently many new deep learning–based variant-calling methods like DeepVariant have emerged as more accurate compared with conventional variant-calling algorithms such as GATK HaplotypeCaller, Sterlka2, and Freebayes albeit at higher computational costs. Therefore, there is a need for mo...

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Detalles Bibliográficos
Autores principales: Ahmad, Tanveer, Al Ars, Zaid, Hofstee, H Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424057/
https://www.ncbi.nlm.nih.gov/pubmed/34494101
http://dx.doi.org/10.1093/gigascience/giab057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424057/
https://www.ncbi.nlm.nih.gov/pubmed/34494101
http://dx.doi.org/10.1093/gigascience/giab057

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