Extending TCGA queries to automatically identify analogous genomic data from dbGaP [version 1; referees: 2 approved, 1 approved with reservations]

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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Bibliographic Details
Main Authors: Erin K. Wagner, Satyajeet Raje, Liz Amos, Jessica Kurata, Abhijit S. Badve, Yingquan Li, Ben Busby
Format: Article
Language:English
Published: F1000 Research Ltd 2017-03-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/6-319/v1