In the age of the Internet of Things and social media platforms, huge amounts of digital data
are generated by and collected from many sources, including sensors, mobile devices …

A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …

Abstract The evolution of High-Performance Computing (HPC) platforms enables the design
and execution of progressively larger and more complex workflow applications in these …

In the last few years, we have witnessed the emergence of several knowledge graphs that
explicitly describe research knowledge with the aim of enabling intelligent systems for …

Systematic implementation of bioinformatics resources for next generation sequencing
(NGS)-based clinical testing is an arduous undertaking. One of the key challenges involves …

Several models have correlated COVID-19 spread with specific climatic, geophysical, and
air pollution conditions, and early models had predicted the lowering of infection cases in …

In recent years, edge computing has become the ideal computing paradigm for various
smart systems, such as smart logistics, smart health and smart transportation. This is due to …

Computational workflows are important methods for automating complex data-generation
and analysis pipelines. Workflows are composed of sub-graphs that perform specific tasks …

Abstract The UK Catalysis Hub (UKCH) is designing a virtual research environment to
support data processing and analysis, the Catalysis Research Workbench (CRW). The …

Today's software development is increasingly performed with the help of low-and no-code
platforms that follow model-driven principles and use domain-specific languages (DSLs) …