Cargando…
Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies
MOTIVATION: Next-generation sequencing (NGS) technologies have become much more efficient, allowing whole human genomes to be sequenced faster and cheaper than ever before. However, processing the raw sequence reads associated with NGS technologies requires care and sophistication in order to draw c...
Autores principales: | Standish, Kristopher A., Carland, Tristan M., Lockwood, Glenn K., Pfeiffer, Wayne, Tatineni, Mahidhar, Huang, C Chris, Lamberth, Sarah, Cherkas, Yauheniya, Brodmerkel, Carrie, Jaeger, Ed, Smith, Lance, Rajagopal, Gunaretnam, Curran, Mark E., Schork, Nicholas J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580299/ https://www.ncbi.nlm.nih.gov/pubmed/26395405 http://dx.doi.org/10.1186/s12859-015-0736-4 |
Ejemplares similares
-
Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations
por: Walsh, Alice M., et al.
Publicado: (2016) -
Homology‐based hydrogen bond information improves crystallographic structures in the PDB
por: van Beusekom, Bart, et al.
Publicado: (2017) -
Comprehensive analysis of treatment response phenotypes in rheumatoid arthritis for pharmacogenetic studies
por: Standish, Kristopher A., et al.
Publicado: (2017) -
CERN's supercomputer
Publicado: (1988) -
Supercomputational science
por: Evans, R, et al.
Publicado: (1990)