Rail-dbGaP: Analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce

Bioinformatics

Volumn 32, Issue 16, 2016, Pages 2551-2553

  Nellore, Abhinav ^a,b   Wilks, Christopher ^a   Hansen, Kasper D ^a,b   Leek, Jeffrey T ^a,b   Langmead, Ben ^a,b  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RNA;

ALGORITHM; BIOLOGY; GENETIC DATABASE; HIGH THROUGHPUT SEQUENCING; HUMAN; REPRODUCIBILITY; SOFTWARE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; REPRODUCIBILITY OF RESULTS; RNA; SOFTWARE;

EID: 84983348760     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btw177     Document Type: Article

References (3)

1. Lonsdale, J. et al. (2013) The genotype-tissue expression (gtex) project. Nat. Genet., 45, 580-585.
2. Mailman, M.D. et al. (2007) The ncbi dbgap database of genotypes and phenotypes. Nat. Genet., 39, 1181-1186.
3. Nellore, A. et al. (2015) Rail-RNA: Scalable Analysis of RNA-Seq Splicing and Coverage. bioRxiv, p. 019067.