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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Vydané v:International journal of bioinformatics research and applications Ročník 3; číslo 3; s. 268
Hlavní autori: Digiampietri, Luciano A, Perez-Alcazar, Jose de J, Medeiros, Claudia Bauzer
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland 2007
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Abstract 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.
AbstractList 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.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.
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.
Author Perez-Alcazar, Jose de J
Medeiros, Claudia Bauzer
Digiampietri, Luciano A
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  givenname: Luciano A
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  givenname: Jose de J
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  fullname: Perez-Alcazar, Jose de J
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  givenname: Claudia Bauzer
  surname: Medeiros
  fullname: Medeiros, Claudia Bauzer
BackLink https://www.ncbi.nlm.nih.gov/pubmed/18048192$$D View this record in MEDLINE/PubMed
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SubjectTerms Artificial Intelligence
Computational Biology
Computer Systems
Decision Support Techniques
Genomics - statistics & numerical data
Internet
Software
Title An ontology-based framework for bioinformatics workflows
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