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Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce
Motivation: Public archives contain thousands of trillions of bases of valuable sequencing data. More than 40% of the Sequence Read Archive is human data protected by provisions such as dbGaP. To analyse dbGaP-protected data, researchers must typically work with IT administrators and signing officia...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978928/ https://www.ncbi.nlm.nih.gov/pubmed/27153614 http://dx.doi.org/10.1093/bioinformatics/btw177 |