Description (expanded): Tailored for large-scale computational tasks in food metrology—modeling authenticity, analyzing big compositional datasets, or multi-omics research—this HPC environment adheres to METROFOOD-RI’s reliability and FAIR data principles. The user-friendly interface supports parallelized pipelines, while robust encryption ensures secure collaboration. Frequent hardware updates keep cluster performance at its peak, empowering advanced nutrition and food safety studies.
Language: English
License: GPL-3.0-or-later
Access Options: Restricted access
Price: From 0.25 EUR per CPU hour – contact with us
Performed by:DataCompute MK LLC
National node: METROFOOD-MK (North Macedonian national node)
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