The rapid growth of high-throughput technologies has transformed biomedical research.
With the increasing amount and complexity of data, scalability and reproducibility have …

Modern scientific research challenges require new technologies, integrated tools, reusable
and complex experiments in distributed computing infrastructures. But above all, computing …

Abstract The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims
to establish a national cloud-based data science infrastructure. Imaging Data Commons …

Scientific workflows have become integral tools in broad scientific computing use cases.
Science discovery is increasingly dependent on workflows to orchestrate large and complex …

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 …

The changing landscape of genomics research and clinical practice has created a need for
computational pipelines capable of efficiently orchestrating complex analysis stages while …

The prevalence of scientific workflows with high computational demands calls for their
execution on various distributed computing platforms, including large-scale leadership-class …

The designers of a new coordination interface enacting complex workflows have to tackle a
dichotomy: choosing a language-independent or language-dependent approach. Language …

Background Microexons, exons that are≤ 30 nucleotides, are a highly conserved and
dynamically regulated set of cassette exons. They have key roles in nervous system …

Real-time execution of machine learning (ML) pipelines on radiology images is difficult due
to limited computing resources in clinical environments, whereas running them in research …