Cargando…
Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data
Analyzing and storing data and results from next-generation sequencing (NGS) experiments is a challenging task, hampered by ever-increasing data volumes and frequent updates of analysis methods and tools. Storage and computation have grown beyond the capacity of personal computers and there is a nee...
Autores principales: | Lampa, Samuel, Dahlö, Martin, Olason, Pall I, Hagberg, Jonas, Spjuth, Ola |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704847/ https://www.ncbi.nlm.nih.gov/pubmed/23800020 http://dx.doi.org/10.1186/2047-217X-2-9 |
Ejemplares similares
-
Recommendations on e-infrastructures for next-generation sequencing
por: Spjuth, Ola, et al.
Publicado: (2016) -
SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines
por: Lampa, Samuel, et al.
Publicado: (2019) -
MaRe: Processing Big Data with application containers on Apache Spark
por: Capuccini, Marco, et al.
Publicado: (2020) -
Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles
por: Lampa, Samuel, et al.
Publicado: (2016) -
Tracking the NGS revolution: managing life science research on shared high-performance computing clusters
por: Dahlö, Martin, et al.
Publicado: (2018)