Cloudgene: A graphical execution platform for MapReduce programs on private and public clouds

@inproceedings{Schnherr2012CloudgeneAG,
  title={Cloudgene: A graphical execution platform for MapReduce programs on private and public clouds},
  author={Sebastian Sch{\"o}nherr and Lukas Forer and Hansi Wei\ssensteiner and Florian Kronenberg and G{\"u}nther Specht and Anita Kloss-Brandst{\"a}tter},
  booktitle={BMC Bioinformatics},
  year={2012}
}
The MapReduce framework enables a scalable processing and analyzing of large datasets by distributing the computational load on connected computer nodes, referred to as a cluster. In Bioinformatics, MapReduce has already been adopted to various case scenarios such as mapping next generation sequencing data to a reference genome, finding SNPs from short read data or matching strings in genotype files. Nevertheless, tasks like installing and maintaining MapReduce on a cluster system, importing… CONTINUE READING
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