Experiments in the life sciences often involve tools from a variety of domains such as mass
spectrometry, next generation sequencing, or image processing. Passing the data between …

The potential for model–data synthesis is growing in importance as we enter an era of 'big
data', greater connectivity and faster computation. Realizing this potential requires that the …

This paper introduces FireWorks, a workflow software for running high‐throughput
calculation workflows at supercomputing centers. FireWorks has been used to complete …

The global energy system is undergoing a major transition, and in energy planning and
decision-making across governments, industry and academia, models play a crucial role …

In this paper, we introduce new urban energy simulation platform SimStadt, which has been
developed to support public authorities and engineering companies in the planning of the …

Background Over the past decade the workflow system paradigm has evolved as an efficient
and user-friendly approach for developing complex bioinformatics applications. Two popular …

Pilot-Job systems play an important role in supporting distributed scientific computing. They
are used to execute millions of jobs on several cyberinfrastructures worldwide, consuming …

This article describes a new open source scientific workflow system, the TimeStudio Project,
dedicated to the behavioral and brain sciences. The program is written in MATLAB and …

Workflow technology is rapidly evolving and, rather than being limited to modeling the
control flow in business processes, is becoming a key mechanism to perform advanced data …

Analyzing biological data (eg, annotating genomes, assembling NGS data...) may involve
very complex and interlinked steps where several tools are combined together. Scientific …