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Parallel biocomputing

By Kenneth S Kompass, Thomas J Hoffmann and John S Witte
Topics: Brief Reports
Publisher: BioMed Central
OAI identifier: oai:pubmedcentral.nih.gov:3068083
Provided by: PubMed Central

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Citations

  1. (2008). Core Team: R: A Language and Environment for Statistical Computing R Foundation for Statistical Computing,
  2. (2011). doi:10.1186/1751-0473-6-4 Cite this article as: Kompass et al.: Parallel biocomputing. Source Code for Biology and Medicine
  3. (2009). Easier parallel computing in R with snowfall and sfCluster.
  4. Genome-wide association studies and beyond. Annu Rev Public Health 2010, 31:9-20, 4 p following 20.
  5. (1997). La’adan O: The MOSIX multicomputer operating system for high performance cluster computing. Future Generations in Computer Systems
  6. (1994). LAM: An Open Cluster Environment for MPI.
  7. (2009). multicore: Parallel processing of R code on machines with multiple cores or CPUs. R Package
  8. (2011). Passing in Command Line Arguments and Parallel Cluster/ Multicore Batching in R with batch.
  9. (2007). PC: PLINK: a tool set for whole-genome association and population-based linkage analyses.
  10. R task page for parallel computing.
  11. (2008). Revealing the architecture of gene regulation: the promise of eQTL studies. Trends Genet
  12. (2009). U: State-of-the-art in Parallel Computing with R.
  13. (2005). Ushijima T: Expression quantitative trait loci analysis of 13 genes in the rat prostate. Genetics