Biodoop: Bioinformatics on Hadoop

@article{Leo2009BiodoopBO,
  title={Biodoop: Bioinformatics on Hadoop},
  author={Simone Leo and Federico Santoni and Gianluigi Zanetti},
  journal={2009 International Conference on Parallel Processing Workshops},
  year={2009},
  pages={415-422}
}
Bioinformatics applications currently require both processing of huge amounts of data and heavy computation. Fulfilling these requirements calls for simple ways to implement parallel computing. MapReduce is a general-purpose parallelization model that seems particularly well-suited to this task and for which an open source implementation (Hadoop) is available. Here we report on its application to three relevant algorithms: BLAST, GSEA and GRAMMAR. The first is characterized by relatively low… CONTINUE READING
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