Extending TCGA queries to automatically identify analogous genomic data from dbGaP

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 Databas...

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Detalles Bibliográficos
Autores principales: Wagner, Erin K., Raje, Satyajeet, Amos, Liz, Kurata, Jessica, Badve, Abhijit S., Li, Yingquan, Busby, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Software Tool Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538035/
https://www.ncbi.nlm.nih.gov/pubmed/28794857
http://dx.doi.org/10.12688/f1000research.9837.1
Descripción
Sumario: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.

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