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García Giordano, Luciano, Paraiso Medina, Sergio ORCID: https://orcid.org/0000-0001-7115-9594, Alonso Calvo, Raúl
ORCID: https://orcid.org/0000-0002-2803-0215, Fernández Martínez, Francisco Javier and Maojo Garcia, Victor Manuel
ORCID: https://orcid.org/0000-0001-5103-4292
(2019).
genoDraw: A web tool for developing pedigree diagrams using the standardized human pedigree nomenclature integrated with biomedical vocabularies.
In: "AMIA 2019, American Medical Informatics Association Annual Symposium", 16-20 Nov 2019, Washington, Estados Unidos. pp. 457-465.
Title: | genoDraw: A web tool for developing pedigree diagrams using the standardized human pedigree nomenclature integrated with biomedical vocabularies |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | AMIA 2019, American Medical Informatics Association Annual Symposium |
Event Dates: | 16-20 Nov 2019 |
Event Location: | Washington, Estados Unidos |
Title of Book: | AMIA Annual Symposium Proceedings |
Date: | 2019 |
Volume: | 2019 |
Subjects: | |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The integration of genetic information in current clinical routine has raised a need for tools to exploit family genetic knowledge. On the clinical side, an application for managing and visualizing pedigree diagrams could provide genetics specialists with an integrated environment with potential positive impact on their current practice. This article presents a web tool (genoDraw) that provides clinical practitioners with the ability to create, maintain and visualize patients’ and their families’ information in the form of pedigree diagrams. genoDraw implements a graph-based three-step process for generating diagrams according to a de facto standard in the area and clinical terminologies. It also complies with five characteristics identified as indispensable for the next-generation of pedigree drawing software: comprehensiveness, data-drivenness, automation, interactivity and compatibility with biomedical vocabularies. The platform was implemented and tested, confirming its potential interest to clinical routine.
Item ID: | 65282 |
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DC Identifier: | https://oa.upm.es/65282/ |
OAI Identifier: | oai:oa.upm.es:65282 |
Official URL: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC71531... |
Deposited by: | Memoria Investigacion |
Deposited on: | 06 Nov 2020 11:49 |
Last Modified: | 30 Nov 2022 09:00 |