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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
Biowep: a workflow enactment portal for bioinformatics applications
Paolo Romano1, Ezio Bartocci, Guglielmo Bertolini
1Bioinformatics and Structural Proteomics, National Cancer Research Institute (IST), Genova, Italy. paolo.romano@istge.it
BMC Bioinformatics
|April 14, 2007
Summary
Bio-WEP is a web portal simplifying bioinformatics analysis for researchers by enabling easy selection and execution of predefined workflows. This bioinformatics tool enhances data integration and analysis accessibility for non-programmers.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Science
Background:
- The increasing volume and complexity of biological data necessitate advanced bioinformatics tools for integration and analysis.
- Existing bioinformatics workflow systems often require programming skills, limiting accessibility for many researchers.
- A user-friendly portal is needed to bridge the gap between advanced bioinformatics technologies and non-expert users.
Purpose of the Study:
- To develop a web-based portal, Bio-WEP, for simplified selection and execution of predefined bioinformatics workflows.
- To enhance accessibility of complex bioinformatics analysis tools for researchers without programming expertise.
- To facilitate data integration and automation of in-silico analysis through a centralized platform.
Main Methods:
- Designed Bio-WEP as a web client application with a Workflow Manager, User Interface, and Workflow Executor.
- Integrated Taverna Workbench and BioWMS for workflow creation, utilizing FreeFluo and BioAgent/Hermes for enactment.
- Annotated workflow steps with input/output, elaboration type, and application domain for user-friendly searching and selection based on profiles.
Main Results:
- Developed and deployed Bio-WEP, an online system for selecting and executing predefined bioinformatics workflows.
- Implemented user authentication and profiling to personalize workflow recommendations and search capabilities.
- Enabled saving of analysis results for user convenience and further investigation.
Conclusions:
- Bio-WEP successfully simplifies access to bioinformatics workflows for a broader range of researchers.
- The system leverages Web Services and workflow automation to improve in-silico analysis efficiency.
- Bio-WEP serves as a reference portal, inviting user contributions to its workflow repository for continuous development.
