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A scientific workflow is the process of combining data and processes into a configurable, structured set of steps that implement semi-automated computational solutions to a scientific problem. Scientific workflow systems often provide graphical user interfaces to combine different technologies along with efficient methods for using them, and ...
Pegasus is an open-source workflow management system. [1] [2] [3] It provides the necessary abstractions for scientists to create scientific workflows [4] and allows for transparent execution of these workflows on a range of computing platforms including high performance computing clusters, clouds, and national cyberinfrastructure.
Anduril is an open source component-based workflow framework for scientific data analysis [2] developed at the Systems Biology Laboratory, University of Helsinki.. Anduril is designed to enable systematic, flexible and efficient data analysis, particularly in the field of high-throughput experiments in biomedical research.
Pegasus, an open-source scientific workflow management system [9] Pipeline Pilot, graphical programming with many tools to address Cheminformatics workflows [10] Swift parallel scripting language, a scripting language with many of the capabilities of scientific workflow systems built-in. VisTrails, a scientific workflow system developed in Python
This server includes many bioinformatics tools that are widely useful in many areas of genomics research. Users can create logins, and save histories, workflows, and datasets on the server. These saved items can also be shared with others. As open-source software that can be downloaded, installed and customized to address specific needs. [20]
The Collective Knowledge (CK) project is an open-source framework and repository to enable collaborative, reproducible and sustainable research and development of complex computational systems. [2] CK is a small, portable, customizable and decentralized infrastructure helping researchers and practitioners:
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