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Your search keyword '"Lora Ziyabari"' showing total 4 results
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4 results on '"Lora Ziyabari"'

2. NCBI’s Database of Genotypes and Phenotypes: dbGaP

Author

Zhen Y Wang, Kimberly A Tryka, Luning Hao, Yumi Jin, Lora Ziyabari, Moira Lee, Masato Kimura, Nataliya Sharopova, Natalia Popova, Michael Feolo, and Anne Sturcke

Subjects
Internet, Database, Genotype, National Library of Medicine (U.S.), Level data, Biology, computer.software_genre, United States, Metadata, Genotype-phenotype distinction, ComputingMethodologies_PATTERNRECOGNITION, VI. Genomic variation, diseases and drugs, Phenotype, Databases, Genetic, Genetics, Humans, computer
Abstract

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.

Published
2013

3. The NCBI dbGaP database of genotypes and phenotypes

Author

Michael Kimelman, Yumi Jin, Moira Lee, A S Graeff, Masato Kimura, Rinat Bagoutdinov, James Ostell, Stephen T. Sherry, Anne Kiang, Jeffrey M. Beck, Eugene Yaschenko, Minghong Ward, Michael Feolo, Stephanie Pretel, Zhen Y Wang, Matthew D. Mailman, Yu Shao, Sergey Shevelev, Michael Kholodov, Don Preuss, Karl Sirotkin, Natalia Popova, Kerry L. Zbicz, Justin Paschall, Luning Hao, Lora Ziyabari, Kimberly A Tryka, and Lon Phan

Subjects
Genetics, Databases, Factual, Genotype, National Library of Medicine (U.S.), Computational Biology, Biology, Public repository, United States, Article, Unique identifier, Phenotype, Data sequences, Genotype-phenotype distinction, Databases, Genetic, Trait
Abstract

The National Center for Biotechnology Information has created the dbGaP public repository for individual-level phenotype, exposure, genotype and sequence data and the associations between them. dbGaP assigns stable, unique identifiers to studies and subsets of information from those studies, including documents, individual phenotypic variables, tables of trait data, sets of genotype data, computed phenotype-genotype associations, and groups of study subjects who have given similar consents for use of their data.

Published
2007
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4. Rapid evaluation of phenotypes, SNPs and results through the dbGaP CHARGE Summary Results site

Author

Anne Sturcke, Christopher J. O'Donnell, Zeng Y Wang, Lora Ziyabari, Stephen S. Rich, Bruce M. Psaty, Kenneth Rice, Mike Feolo, and Joshua C. Bis

Subjects
0301 basic medicine, Genetics, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Extramural, Single-nucleotide polymorphism, Genome-wide association study, 030204 cardiovascular system & hematology, Biology, Phenotype
Abstract

Rapid evaluation of phenotypes, SNPs and results through the dbGaP CHARGE Summary Results site

Published
2016
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