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Neurocarta: aggregating and sharing disease-gene relations for the neurosciences

BACKGROUND: Understanding the genetic basis of diseases is key to the development of better diagnoses and treatments. Unfortunately, only a small fraction of the existing data linking genes to phenotypes is available through online public resources and, when available, it is scattered across multipl...

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Autores principales: Portales-Casamar, Elodie, Ch’ng, Carolyn, Lui, Frances, St-Georges, Nicolas, Zoubarev, Anton, Lai, Artemis Y, Lee, Mark, Kwok, Cathy, Kwok, Willie, Tseng, Luchia, Pavlidis, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599981/
https://www.ncbi.nlm.nih.gov/pubmed/23442263
http://dx.doi.org/10.1186/1471-2164-14-129
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author Portales-Casamar, Elodie
Ch’ng, Carolyn
Lui, Frances
St-Georges, Nicolas
Zoubarev, Anton
Lai, Artemis Y
Lee, Mark
Kwok, Cathy
Kwok, Willie
Tseng, Luchia
Pavlidis, Paul
author_facet Portales-Casamar, Elodie
Ch’ng, Carolyn
Lui, Frances
St-Georges, Nicolas
Zoubarev, Anton
Lai, Artemis Y
Lee, Mark
Kwok, Cathy
Kwok, Willie
Tseng, Luchia
Pavlidis, Paul
author_sort Portales-Casamar, Elodie
collection PubMed
description BACKGROUND: Understanding the genetic basis of diseases is key to the development of better diagnoses and treatments. Unfortunately, only a small fraction of the existing data linking genes to phenotypes is available through online public resources and, when available, it is scattered across multiple access tools. DESCRIPTION: Neurocarta is a knowledgebase that consolidates information on genes and phenotypes across multiple resources and allows tracking and exploring of the associations. The system enables automatic and manual curation of evidence supporting each association, as well as user-enabled entry of their own annotations. Phenotypes are recorded using controlled vocabularies such as the Disease Ontology to facilitate computational inference and linking to external data sources. The gene-to-phenotype associations are filtered by stringent criteria to focus on the annotations most likely to be relevant. Neurocarta is constantly growing and currently holds more than 30,000 lines of evidence linking over 7,000 genes to 2,000 different phenotypes. CONCLUSIONS: Neurocarta is a one-stop shop for researchers looking for candidate genes for any disorder of interest. In Neurocarta, they can review the evidence linking genes to phenotypes and filter out the evidence they’re not interested in. In addition, researchers can enter their own annotations from their experiments and analyze them in the context of existing public annotations. Neurocarta’s in-depth annotation of neurodevelopmental disorders makes it a unique resource for neuroscientists working on brain development.
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spelling pubmed-35999812013-03-17 Neurocarta: aggregating and sharing disease-gene relations for the neurosciences Portales-Casamar, Elodie Ch’ng, Carolyn Lui, Frances St-Georges, Nicolas Zoubarev, Anton Lai, Artemis Y Lee, Mark Kwok, Cathy Kwok, Willie Tseng, Luchia Pavlidis, Paul BMC Genomics Database BACKGROUND: Understanding the genetic basis of diseases is key to the development of better diagnoses and treatments. Unfortunately, only a small fraction of the existing data linking genes to phenotypes is available through online public resources and, when available, it is scattered across multiple access tools. DESCRIPTION: Neurocarta is a knowledgebase that consolidates information on genes and phenotypes across multiple resources and allows tracking and exploring of the associations. The system enables automatic and manual curation of evidence supporting each association, as well as user-enabled entry of their own annotations. Phenotypes are recorded using controlled vocabularies such as the Disease Ontology to facilitate computational inference and linking to external data sources. The gene-to-phenotype associations are filtered by stringent criteria to focus on the annotations most likely to be relevant. Neurocarta is constantly growing and currently holds more than 30,000 lines of evidence linking over 7,000 genes to 2,000 different phenotypes. CONCLUSIONS: Neurocarta is a one-stop shop for researchers looking for candidate genes for any disorder of interest. In Neurocarta, they can review the evidence linking genes to phenotypes and filter out the evidence they’re not interested in. In addition, researchers can enter their own annotations from their experiments and analyze them in the context of existing public annotations. Neurocarta’s in-depth annotation of neurodevelopmental disorders makes it a unique resource for neuroscientists working on brain development. BioMed Central 2013-02-26 /pmc/articles/PMC3599981/ /pubmed/23442263 http://dx.doi.org/10.1186/1471-2164-14-129 Text en Copyright ©2013 Portales-Casamar et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Portales-Casamar, Elodie
Ch’ng, Carolyn
Lui, Frances
St-Georges, Nicolas
Zoubarev, Anton
Lai, Artemis Y
Lee, Mark
Kwok, Cathy
Kwok, Willie
Tseng, Luchia
Pavlidis, Paul
Neurocarta: aggregating and sharing disease-gene relations for the neurosciences
title Neurocarta: aggregating and sharing disease-gene relations for the neurosciences
title_full Neurocarta: aggregating and sharing disease-gene relations for the neurosciences
title_fullStr Neurocarta: aggregating and sharing disease-gene relations for the neurosciences
title_full_unstemmed Neurocarta: aggregating and sharing disease-gene relations for the neurosciences
title_short Neurocarta: aggregating and sharing disease-gene relations for the neurosciences
title_sort neurocarta: aggregating and sharing disease-gene relations for the neurosciences
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599981/
https://www.ncbi.nlm.nih.gov/pubmed/23442263
http://dx.doi.org/10.1186/1471-2164-14-129
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