DynamicFlow: A Client-Side Workflow Management System

Authors:
Pedro Lopes;Joel Arrais;José Luís Oliveira
Affiliations:
IEETA, Universidade de Aveiro, Aveiro, Portugal 3810 --- 193;IEETA, Universidade de Aveiro, Aveiro, Portugal 3810 --- 193;IEETA, Universidade de Aveiro, Aveiro, Portugal 3810 --- 193
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

Citing 9
Cited 0

Streamlining Biological Data Analysis Using BioFlow

BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
Semantic E-Workflow Composition

Journal of Intelligent Information Systems
Taverna: a tool for the composition and enactment of bioinformatics workflows

Bioinformatics
Scientific workflow management and the Kepler system: Research Articles

Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
myExperiment: social networking for workflow-using e-scientists

Proceedings of the 2nd workshop on Workflows in support of large-scale science
State of the nation in data integration for bioinformatics

Journal of Biomedical Informatics
Methodological Review: HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0

Journal of Biomedical Informatics
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems

Journal of Biomedical Informatics
A Web-Based Mashup Environment for On-the-Fly Service Composition

SOSE '08 Proceedings of the 2008 IEEE International Symposium on Service-Oriented System Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The constant increase on the amount and heterogeneity of biological data sources impose a permanent pressure toward the development of computational solutions that can integrate and process all the data, and help give answers to arising biological questions. Besides the work already developed on information integration in computational biology, the novel Web2.0 and Web Semantic trends leverage the design of next-generation applications sustained by the web-as-a-platform principle. Grounded on this idea, this paper presents a service orchestration framework that, using existing web components, allows the user to create and execute their own research workflow relying simply on a normal web browser.