A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine

Precision medicine has emerged as a disrupting medical model to transform a historically reactive medicine into a proactive one that focuses on delivering individualized treatment. A relevant challenge of precision medicine is to integrate the large amount of omics data that exists. This data has a...

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Autores principales:	Alberto Garcia S., Ana Leon Palacio, Jose Fabian Reyes Roman, Juan Carlos Casamayor, Oscar Pastor
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Conceptual modeling CSHG CSG evolution genomics human genome Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/fc502fd3f34740d493f99fd97d819909
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spelling	oai:doaj.org-article:fc502fd3f34740d493f99fd97d8199092021-11-24T00:01:26ZA Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine2169-353610.1109/ACCESS.2021.3128757https://doaj.org/article/fc502fd3f34740d493f99fd97d8199092021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9617605/https://doaj.org/toc/2169-3536Precision medicine has emerged as a disrupting medical model to transform a historically reactive medicine into a proactive one that focuses on delivering individualized treatment. A relevant challenge of precision medicine is to integrate the large amount of omics data that exists. This data has a high degree of heterogeneity, dispersion, and isolation. In addition, there is a lack of a solid ontological commitment regarding domain concepts and definitions, and a unified guideline of how to transform data into knowledge is missing. In this work, we report our experience applying conceptual modeling to deal with these challenges in a specific genomics dimension, i.e., Precision Medicine. To do so, we have applied conceptual modeling techniques. The use of these techniques allows us to create representations of the world (i.e., conceptual schemes) that can be used for the purposes of understanding, communicating, and problem-solving. They also help to establish a common ontological framework to facilitate both communication and knowledge evolution in complex domains. We identify a set of limitations that emerged after working in a precision medicine context, and we describe how we have solved them using conceptual modeling. Thus, the main contribution of this work is to present the subsequent Conceptual Schema that allowed us to overcome these limitations, which provides a better representation of proteomics data and eases its integration.Alberto Garcia S.Ana Leon PalacioJose Fabian Reyes RomanJuan Carlos CasamayorOscar PastorIEEEarticleConceptual modelingCSHGCSGevolutiongenomicshuman genomeElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 154071-154085 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Conceptual modeling CSHG CSG evolution genomics human genome Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Conceptual modeling CSHG CSG evolution genomics human genome Electrical engineering. Electronics. Nuclear engineering TK1-9971 Alberto Garcia S. Ana Leon Palacio Jose Fabian Reyes Roman Juan Carlos Casamayor Oscar Pastor A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine
description	Precision medicine has emerged as a disrupting medical model to transform a historically reactive medicine into a proactive one that focuses on delivering individualized treatment. A relevant challenge of precision medicine is to integrate the large amount of omics data that exists. This data has a high degree of heterogeneity, dispersion, and isolation. In addition, there is a lack of a solid ontological commitment regarding domain concepts and definitions, and a unified guideline of how to transform data into knowledge is missing. In this work, we report our experience applying conceptual modeling to deal with these challenges in a specific genomics dimension, i.e., Precision Medicine. To do so, we have applied conceptual modeling techniques. The use of these techniques allows us to create representations of the world (i.e., conceptual schemes) that can be used for the purposes of understanding, communicating, and problem-solving. They also help to establish a common ontological framework to facilitate both communication and knowledge evolution in complex domains. We identify a set of limitations that emerged after working in a precision medicine context, and we describe how we have solved them using conceptual modeling. Thus, the main contribution of this work is to present the subsequent Conceptual Schema that allowed us to overcome these limitations, which provides a better representation of proteomics data and eases its integration.
format	article
author	Alberto Garcia S. Ana Leon Palacio Jose Fabian Reyes Roman Juan Carlos Casamayor Oscar Pastor
author_facet	Alberto Garcia S. Ana Leon Palacio Jose Fabian Reyes Roman Juan Carlos Casamayor Oscar Pastor
author_sort	Alberto Garcia S.
title	A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine
title_short	A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine
title_full	A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine
title_fullStr	A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine
title_full_unstemmed	A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine
title_sort	conceptual model-based approach to improve the representation and management of omics data in precision medicine
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/fc502fd3f34740d493f99fd97d819909
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A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine

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