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Extending TCGA queries to automatically identify analogous genomic data from dbGaP.


ABSTRACT: Data sharing is critical to advance genomic research by reducing the demand to collect new data by reusing and combining existing data and by promoting reproducible research. The Cancer Genome Atlas (TCGA) is a popular resource for individual-level genotype-phenotype cancer related data. The Database of Genotypes and Phenotypes (dbGaP) contains many datasets similar to those in TCGA. We have created a software pipeline that will allow researchers to discover relevant genomic data from dbGaP, based on matching TCGA metadata. The resulting research provides an easy to use tool to connect these two data sources.

SUBMITTER: Wagner EK 

PROVIDER: S-EPMC5538035 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Extending TCGA queries to automatically identify analogous genomic data from dbGaP.

Wagner Erin K EK   Raje Satyajeet S   Amos Liz L   Kurata Jessica J   Badve Abhijit S AS   Li Yingquan Y   Busby Ben B  

F1000Research 20170324


Data sharing is critical to advance genomic research by reducing the demand to collect new data by reusing and combining existing data and by promoting reproducible research. The Cancer Genome Atlas (TCGA) is a popular resource for individual-level genotype-phenotype cancer related data. The Database of Genotypes and Phenotypes (dbGaP) contains many datasets similar to those in TCGA. We have created a software pipeline that will allow researchers to discover relevant genomic data from dbGaP, bas  ...[more]

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