An ontology for collaborative construction and analysis of cellular pathways.
Bioinformatics
; 20(3): 349-56, 2004 Feb 12.
Article
en En
| MEDLINE
| ID: mdl-14960461
ABSTRACT
MOTIVATION As the scientific curiosity in genome studies shifts toward identification of functions of the genomes in large scale, data produced about cellular processes at molecular level has been accumulating with an accelerating rate. In this regard, it is essential to be able to store, integrate, access and analyze this data effectively with the help of software tools. Clearly this requires a strong ontology that is intuitive, comprehensive and uncomplicated. RESULTS:
We define an ontology for an intuitive, comprehensive and uncomplicated representation of cellular events. The ontology presented here enables integration of fragmented or incomplete pathway information via collaboration, and supports manipulation of the stored data. In addition, it facilitates concurrent modifications to the data while maintaining its validity and consistency. Furthermore, novel structures for representation of multiple levels of abstraction for pathways and homologies is provided. Lastly, our ontology supports efficient querying of large amounts of data. We have also developed a software tool named pathway analysis tool for integration and knowledge acquisition (PATIKA) providing an integrated, multi-user environment for visualizing and manipulating network of cellular events. PATIKA implements the basics of our ontology.
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Base de datos:
MEDLINE
Asunto principal:
Sistemas de Administración de Bases de Datos
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Interfaz Usuario-Computador
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Programas Informáticos
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Transducción de Señal
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Fenómenos Fisiológicos Celulares
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Vocabulario Controlado
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Modelos Biológicos
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2004
Tipo del documento:
Article