Halvade-RNA: Parallel variant calling from transcriptomic data using MapReduce

@article{Decap2017HalvadeRNAPV,
  title={Halvade-RNA: Parallel variant calling from transcriptomic data using MapReduce},
  author={Dries Decap and J. Reumers and Charlotte Herzeel and Pascal Costanza and J. Fostier},
  journal={PLoS ONE},
  year={2017},
  volume={12}
}
  • Dries Decap, J. Reumers, +2 authors J. Fostier
  • Published 2017
  • Computer Science, Medicine
  • PLoS ONE
  • Given the current cost-effectiveness of next-generation sequencing, the amount of DNA-seq and RNA-seq data generated is ever increasing. One of the primary objectives of NGS experiments is calling genetic variants. While highly accurate, most variant calling pipelines are not optimized to run efficiently on large data sets. However, as variant calling in genomic data has become common practice, several methods have been proposed to reduce runtime for DNA-seq analysis through the use of parallel… CONTINUE READING
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