Halvade-RNA: Parallel variant calling from transcriptomic data using MapReduce
Published 2017 View Full Article
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Title
Halvade-RNA: Parallel variant calling from transcriptomic data using MapReduce
Authors
Keywords
Genome analysis, Wildebeest, Gene expression, Pipelines (computing), RNA sequencing, Sequence alignment, Next-generation sequencing, Transcriptome analysis
Journal
PLoS One
Volume 12, Issue 3, Pages e0174575
Publisher
Public Library of Science (PLoS)
Online
2017-03-31
DOI
10.1371/journal.pone.0174575
References
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Related references
Note: Only part of the references are listed.- Halvade: scalable sequence analysis with MapReduce
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- Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics
- (2015) Benjamin J Kelly et al. GENOME BIOLOGY
- Supercomputing for the parallelization of whole genome analysis
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- Reliable Identification of Genomic Variants from RNA-Seq Data
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- (2012) Jordi Barretina et al. NATURE
- Detecting and annotating genetic variations using the HugeSeq pipeline
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- A framework for variation discovery and genotyping using next-generation DNA sequencing data
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