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NCBI’s Database of Genotypes and Phenotypes: dbGaP

The Database of Genotypes and Phenotypes (dbGap, http://www.ncbi.nlm.nih.gov/gap) is a National Institutes of Health-sponsored repository charged to archive, curate and distribute information produced by studies investigating the interaction of genotype and phenotype. Information in dbGaP is organiz...

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Autores principales: Tryka, Kimberly A., Hao, Luning, Sturcke, Anne, Jin, Yumi, Wang, Zhen Y., Ziyabari, Lora, Lee, Moira, Popova, Natalia, Sharopova, Nataliya, Kimura, Masato, Feolo, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965052/
https://www.ncbi.nlm.nih.gov/pubmed/24297256
http://dx.doi.org/10.1093/nar/gkt1211
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author Tryka, Kimberly A.
Hao, Luning
Sturcke, Anne
Jin, Yumi
Wang, Zhen Y.
Ziyabari, Lora
Lee, Moira
Popova, Natalia
Sharopova, Nataliya
Kimura, Masato
Feolo, Michael
author_facet Tryka, Kimberly A.
Hao, Luning
Sturcke, Anne
Jin, Yumi
Wang, Zhen Y.
Ziyabari, Lora
Lee, Moira
Popova, Natalia
Sharopova, Nataliya
Kimura, Masato
Feolo, Michael
author_sort Tryka, Kimberly A.
collection PubMed
description The Database of Genotypes and Phenotypes (dbGap, http://www.ncbi.nlm.nih.gov/gap) is a National Institutes of Health-sponsored repository charged to archive, curate and distribute information produced by studies investigating the interaction of genotype and phenotype. Information in dbGaP is organized as a hierarchical structure and includes the accessioned objects, phenotypes (as variables and datasets), various molecular assay data (SNP and Expression Array data, Sequence and Epigenomic marks), analyses and documents. Publicly accessible metadata about submitted studies, summary level data, and documents related to studies can be accessed freely on the dbGaP website. Individual-level data are accessible via Controlled Access application to scientists across the globe.
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spelling pubmed-39650522014-03-25 NCBI’s Database of Genotypes and Phenotypes: dbGaP Tryka, Kimberly A. Hao, Luning Sturcke, Anne Jin, Yumi Wang, Zhen Y. Ziyabari, Lora Lee, Moira Popova, Natalia Sharopova, Nataliya Kimura, Masato Feolo, Michael Nucleic Acids Res VI. Genomic variation, diseases and drugs The Database of Genotypes and Phenotypes (dbGap, http://www.ncbi.nlm.nih.gov/gap) is a National Institutes of Health-sponsored repository charged to archive, curate and distribute information produced by studies investigating the interaction of genotype and phenotype. Information in dbGaP is organized as a hierarchical structure and includes the accessioned objects, phenotypes (as variables and datasets), various molecular assay data (SNP and Expression Array data, Sequence and Epigenomic marks), analyses and documents. Publicly accessible metadata about submitted studies, summary level data, and documents related to studies can be accessed freely on the dbGaP website. Individual-level data are accessible via Controlled Access application to scientists across the globe. Oxford University Press 2014-01-01 2013-11-30 /pmc/articles/PMC3965052/ /pubmed/24297256 http://dx.doi.org/10.1093/nar/gkt1211 Text en Published by Oxford University Press 2013. This work is written by US Government employees and is in the public domain in the US.
spellingShingle VI. Genomic variation, diseases and drugs
Tryka, Kimberly A.
Hao, Luning
Sturcke, Anne
Jin, Yumi
Wang, Zhen Y.
Ziyabari, Lora
Lee, Moira
Popova, Natalia
Sharopova, Nataliya
Kimura, Masato
Feolo, Michael
NCBI’s Database of Genotypes and Phenotypes: dbGaP
title NCBI’s Database of Genotypes and Phenotypes: dbGaP
title_full NCBI’s Database of Genotypes and Phenotypes: dbGaP
title_fullStr NCBI’s Database of Genotypes and Phenotypes: dbGaP
title_full_unstemmed NCBI’s Database of Genotypes and Phenotypes: dbGaP
title_short NCBI’s Database of Genotypes and Phenotypes: dbGaP
title_sort ncbi’s database of genotypes and phenotypes: dbgap
topic VI. Genomic variation, diseases and drugs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965052/
https://www.ncbi.nlm.nih.gov/pubmed/24297256
http://dx.doi.org/10.1093/nar/gkt1211
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