An ontology-based framework for bioinformatics workflows

The proliferation of bioinformatics activities brings new challenges - how to understand and organise these resources, how to exchange and reuse successful experimental procedures, and to provide interoperability among data and tools. This paper describes an effort toward these directions. It is bas...

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Bibliographic Details
Published in:International journal of bioinformatics research and applications Vol. 3; no. 3; p. 268
Main Authors: Digiampietri, Luciano A, Perez-Alcazar, Jose de J, Medeiros, Claudia Bauzer
Format: Journal Article
Language:English
Published: Switzerland 2007
Subjects:
Artificial Intelligence
Computational Biology
Computer Systems
Decision Support Techniques
Genomics - statistics & numerical data
Internet
Software
ISSN:1744-5485
Online Access:Get more information
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Summary:The proliferation of bioinformatics activities brings new challenges - how to understand and organise these resources, how to exchange and reuse successful experimental procedures, and to provide interoperability among data and tools. This paper describes an effort toward these directions. It is based on combining research on ontology management, AI and scientific workflows to design, reuse and annotate bioinformatics experiments. The resulting framework supports automatic or interactive composition of tasks based on AI planning techniques and takes advantage of ontologies to support the specification and annotation of bioinformatics workflows. We validate our proposal with a prototype running on real data.
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ISSN:1744-5485
DOI:10.1504/IJBRA.2007.015003