OncoCardioDB: a public and curated database of molecular information in onco-cardiology/cardio-oncology
Primer Autor |
Domingo, Juan
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Co-autores |
Dura, Esther
Riffo-Campos, Angela L.
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Título |
OncoCardioDB: a public and curated database of molecular information in onco-cardiology/cardio-oncology
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Editorial |
OXFORD UNIV PRESS
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Revista |
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
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Lenguaje |
en
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Resumen |
Numerous studies have been published which, separately, investigate the influence of molecular features on oncological and cardiac pathologies. Nevertheless, the relationship between both families of diseases at the molecular level is an emerging area within oncocardiology/cardio-oncology.This paper presents a new open-source database that aims to organize the curated information concerning the molecular features validated in patients involved in both cancer and cardiovascular diseases. Entities like gene, variation, drug, study and others are modelled as objects of a database which is populated with curated information from 83 papers identified by systematic literature searched for up to 2021. Researchers will discover new connections among them to validate hypotheses or suggest new ones. Special care has been taken to use standard nomenclature for genes, pathologies and all the objects for which accepted conventions exist. The database can be consulted via the web with a system of simplified queries, but it also accepts any query. It will be updated and refined with the incorporation of new studies as they become available.
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Fecha Publicación |
2023
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Tipo de Recurso |
artículo original
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doi |
10.1093/database/baad029
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Formato Recurso |
PDF
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Palabras Claves |
Cardiology
Cardiovascular Diseases / genetics
Databases, Factual
Humans
Medical Oncology
Neoplasms / genetics
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Ubicación del archivo | |
Categoría OCDE |
Biología Matemática y Computacional
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Materias |
Cardiología
Enfermedades Cardiovasculares/genética
Bases de datos fácticas
Humanos
Oncologia medica
Neoplasias / genética
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Identificador del recurso (Mandatado-único) |
artículo original
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Versión del recurso (Recomendado-único) |
versión publicada
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License |
CC BY 4.0
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Condición de la licencia (Recomendado-repetible) |
CC BY 4.0
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Derechos de acceso |
acceso abierto
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Access Rights |
acceso abierto
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Id de Web of Science |
WOS:000985169300002
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ISSN |
1758-0463
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Tipo de ruta |
verde# dorada
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Categoría WOS |
Biología Matemática y Computacional
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Referencia del Financiador (Mandatado si es aplicable-repetible) |
PID2020-117114GB-I00
MCINN AEI/10.13039/501100011033
ANID-FONDECYT 3180486
UFRO DIUFRO DI22-0014
ANID FONDECYT 3180486
UFRO DI22-0014
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