Repositorio UFRO · Omeka S

OncoCardioDB: a public and curated database of molecular information in onco-cardiology/cardio-oncology

Primer Autor	Domingo, Juan
Co-autores	Dura, Esther Riffo-Campos, Angela L.
Título	OncoCardioDB: a public and curated database of molecular information in onco-cardiology/cardio-oncology
Editorial	OXFORD UNIV PRESS
Revista	DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
Lenguaje	en
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.
Fecha Publicación	2023
Tipo de Recurso	artículo original
doi	10.1093/database/baad029
Formato Recurso	PDF
Palabras Claves	Cardiology Cardiovascular Diseases / genetics Databases, Factual Humans Medical Oncology Neoplasms / genetics
Ubicación del archivo	http://dx.doi.org/10.1093/database/baad029
Categoría OCDE	Biología Matemática y Computacional
Materias	Cardiología Enfermedades Cardiovasculares/genética Bases de datos fácticas Humanos Oncologia medica Neoplasias / genética
Identificador del recurso (Mandatado-único)	artículo original
Versión del recurso (Recomendado-único)	versión publicada
License	CC BY 4.0
Condición de la licencia (Recomendado-repetible)	CC BY 4.0
Derechos de acceso	acceso abierto
Access Rights	acceso abierto
Id de Web of Science	WOS:000985169300002
ISSN	1758-0463
Tipo de ruta	verde# dorada
Categoría WOS	Biología Matemática y Computacional
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