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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.
An example of a theoretical formal analysis framework for the verification and profiling of the control-flow aspects of scientific workflows and their data flow aspects for the Discovery Net system is described in the paper, "The design and implementation of a workflow analysis tool" by Curcin et al. [5]
The underlying theoretical basis of workflow management is the mathematical concept of a Petri net. [4] Each of the workflow models has tasks (nodes) and dependencies between the nodes. Tasks are activated when the dependency conditions are fulfilled.
A bioinformatics workflow management system is a specialized form of a workflow management system designed specifically to compose and execute a series of computational or data manipulation steps, or a workflow, in a Bioinformatics application. Such systems are designed to
Business workflow analysis (BWA), also known as business management systems p2p, is a management tool that streamlines, automates and improves the efficiency of business procedures. Overview [ edit ]
The Common Workflow Language (CWL) is a standard for describing computational data-analysis workflows. [1] Development of CWL is focused particularly on serving the data-intensive sciences, such as bioinformatics , [ 2 ] medical imaging , astronomy , physics , and chemistry .
Workflow analysis: Workflow systems allow users to develop executable processes with no familiarity with formal programming concepts. Automated workflow analysis techniques can help users analyze the properties of user workflows to conduct verification of certain properties before executing them, e.g., analyzing flow control or data flow.