Paper information
Title
JISBD2007-03: Biological Data Processing using Model Driven Engineering
JISBD2007-03: Biological Data Processing using Model Driven Engineering
Authors
Abel Gómez Llana
Artur Boronat Moll
Jose Angel Carsí Cubel
Isidro Ramos Salavert
Claudia Täubner
Abel Gómez Llana
Artur Boronat Moll
Jose Angel Carsí Cubel
Isidro Ramos Salavert
Claudia Täubner
Published in
Latin America Transactions, IEEE (Revista IEEE America Latina), vol.6, no.4, pp.324-331, August 2008. ISSN: 1548-0992. - 2008
Latin America Transactions, IEEE (Revista IEEE America Latina), vol.6, no.4, pp.324-331, August 2008. ISSN: 1548-0992. - 2008
Abstract
This paper shows how Model-Driven Software Development (MDSD) can be applied in the bioinformatics field since biological data structures can be easily expressed by means of models. The existence of several heterogeneous data sources is usual in the bioinformatics context. In order to validate the information stored in these data sources, several formalisms and simulation tools have been adopted. The process of importing data from the source databases and introducing it in the simulation tools is usually done by hand. This work describes how to overcome this drawback by applying MDSD techniques (e.g. model transformations). Such techniques allow us to automate the data migration process between source databases and simulation tools, making the transformation process independent of the data persistence format, obtaining more modular tools and generating traceability information automatically.
This paper shows how Model-Driven Software Development (MDSD) can be applied in the bioinformatics field since biological data structures can be easily expressed by means of models. The existence of several heterogeneous data sources is usual in the bioinformatics context. In order to validate the information stored in these data sources, several formalisms and simulation tools have been adopted. The process of importing data from the source databases and introducing it in the simulation tools is usually done by hand. This work describes how to overcome this drawback by applying MDSD techniques (e.g. model transformations). Such techniques allow us to automate the data migration process between source databases and simulation tools, making the transformation process independent of the data persistence format, obtaining more modular tools and generating traceability information automatically.
BibTeX
@misc{issi_web:id:294,
title = "JISBD2007-03: Biological Data Processing using Model Driven Engineering",
author = "Abel Gómez Llana and Artur Boronat Moll and Jose Angel Carsí Cubel and Isidro Ramos Salavert and Claudia Täubner",
booktitle = "Latin America Transactions, IEEE (Revista IEEE America Latina), vol.6, no.4, pp.324-331, August 2008. ISSN: 1548-0992. ",
year = "2008",
eprint = "http://issi.dsic.upv.es/publications/archives/",
url = "http://dx.doi.org/10.1109/TLA.2008.4815285",
abstract = "This paper shows how Model-Driven Software Development (MDSD) can be applied in the bioinformatics field since biological data structures can be easily expressed by means of models. The existence of several heterogeneous data sources is usual in the bioinformatics context. In order to validate the information stored in these data sources, several formalisms and simulation tools have been adopted. The process of importing data from the source databases and introducing it in the simulation tools is usually done by hand. This work describes how to overcome this drawback by applying MDSD techniques (e.g. model transformations). Such techniques allow us to automate the data migration process between source databases and simulation tools, making the transformation process independent of the data persistence format, obtaining more modular tools and generating traceability information automatically."
}