ELIXIR-IT HPC@CINECA: high performance computing resources for the bioinformatics community

Background The advent of Next Generation Sequencing (NGS) technologies and the concomitant reduction in sequencing costs allows unprecedented high throughput profiling of biological systems in a cost-efficient manner. Modern biological experiments are increasingly becoming both data and computationa...

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Vydané v:	BMC bioinformatics Ročník 21; číslo Suppl 10; s. 352 - 17
Hlavní autori:	Castrignanò, Tiziana, Gioiosa, Silvia, Flati, Tiziano, Cestari, Mirko, Picardi, Ernesto, Chiara, Matteo, Fratelli, Maddalena, Amente, Stefano, Cirilli, Marco, Tangaro, Marco Antonio, Chillemi, Giovanni, Pesole, Graziano, Zambelli, Federico
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 21.08.2020 BioMed Central Ltd Springer Nature B.V BMC
Predmet:	Algorithms Analysis Animals Annotations Automation Bioinformatics Biomedical and Life Sciences Biomedical materials Cell Line Computation Computational Biology Computational Biology/Bioinformatics Compute service Computer Appl. in Life Sciences Computer applications Computing Methodologies Data analysis Data storage Databases, Genetic Datasets Digital archives Gene Fusion Genome Genomes High performance computing HPC Humans Information storage and retrieval Infrastructure Life Sciences Line interfaces Medical research Microarrays Next-generation sequencing NGS data analysis Provisioning Prunus persica - genetics Random access memory Rankings Research projects RNA Editing Software Software environment Supercomputers Swallows - genetics User services Work environment HPC Compute service Software environment Bioinformatics NGS data analysis
ISSN:	1471-2105, 1471-2105
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