NCBI’s Database of Genotypes and Phenotypes: dbGaP | Zendy

K. A. Tryka | Zendy; Luning Hao | Zendy; Anne Sturcke | Zendy; Yumi Jin | Zendy; Zhen Y Wang | Zendy; Lora Ziyabari | Zendy; Moira Lee | Zendy; Н. В. Попова | Zendy; Nataliya Sharopova | Zendy; Masato Kimura | Zendy; Michael Feolo | Zendy

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NCBI’s Database of Genotypes and Phenotypes: dbGaP

Author(s) -

K. A. Tryka,

Luning Hao,

Anne Sturcke,

Yumi Jin,

Zhen Y Wang,

Lora Ziyabari,

Moira Lee,

Н. В. Попова,

Nataliya Sharopova,

Masato Kimura,

Michael Feolo

Publication year - 2013

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gkt1211

Subject(s) - metadata , biology , genotype phenotype distinction , genome browser , phenotype , genomics , computational biology , library science , genetics , world wide web , genome , computer science , gene

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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