Cargando…
Accelerating next generation sequencing data analysis: an evaluation of optimized best practices for Genome Analysis Toolkit algorithms
Advancements in next generation sequencing (NGS) technologies have significantly increased the translational use of genomics data in the medical field as well as the demand for computational infrastructure capable processing that data. To enhance the current understanding of software and hardware us...
Autores principales: | Franke, Karl R., Crowgey, Erin L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120354/ https://www.ncbi.nlm.nih.gov/pubmed/32224843 http://dx.doi.org/10.5808/GI.2020.18.1.e10 |
Ejemplares similares
-
Accelerating next generation sequencing data analysis with system level optimizations
por: Kathiresan, Nagarajan, et al.
Publicado: (2017) -
An integrated pipeline for next-generation sequencing and annotation of mitochondrial genomes
por: Jex, Aaron R., et al.
Publicado: (2010) -
Systems Genomics in the Age of Next Generation Sequencing (Part II)
por: Suravajhala, Prashanth
Publicado: (2019) -
NGS QC Toolkit: A Toolkit for Quality Control of Next Generation Sequencing Data
por: Patel, Ravi K., et al.
Publicado: (2012) -
Into the unknown: expression profiling without genome sequence information in CHO by next generation sequencing
por: Birzele, Fabian, et al.
Publicado: (2010)