Cargando…
de novo variant calling identifies cancer mutation signatures in the 1000 Genomes Project
Detection of de novo variants (DNVs) is critical for studies of disease‐related variation and mutation rates. To accelerate DNV calling, we developed a graphics processing units‐based workflow. We applied our workflow to whole‐genome sequencing data from three parent‐child sequenced cohorts includin...
Autores principales: | Ng, Jeffrey K., Vats, Pankaj, Fritz‐Waters, Elyn, Sarkar, Stephanie, Sams, Eleanor I., Padhi, Evin M., Payne, Zachary L., Leonard, Shawn, West, Marc A., Prince, Chandler, Trani, Lee, Jansen, Marshall, Vacek, George, Samadi, Mehrzad, Harkins, Timothy T., Pohl, Craig, Turner, Tychele N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771978/ https://www.ncbi.nlm.nih.gov/pubmed/36054329 http://dx.doi.org/10.1002/humu.24455 |
Ejemplares similares
-
A GPU-accelerated compute framework for pathogen genomic variant identification to aid genomic epidemiology of infectious disease: a malaria case study
por: Carpi, Giovanna, et al.
Publicado: (2022) -
ACES: Analysis of Conservation with an Extensive list of Species
por: Padhi, Evin M, et al.
Publicado: (2021) -
HAT: de novo variant calling for highly accurate short-read and long-read sequencing data
por: Ng, Jeffrey K., et al.
Publicado: (2023) -
Acorn: an R package for de novo variant analysis
por: Turner, Tychele N.
Publicado: (2023) -
Naegleria: a classic model for de novo basal body assembly
por: Fritz-Laylin, Lillian K., et al.
Publicado: (2016)