• DocumentCode
    3717235
  • Title

    Spaler: Spark and GraphX based de novo genome assembler

  • Author

    Anas Abu-Doleh;?mit V. ?ataly?rek

  • Author_Institution
    Dept. of Electrical and Computer Engineering, The Ohio State University
  • fYear
    2015
  • Firstpage
    1013
  • Lastpage
    1018
  • Abstract
    The recent advancements in high-throughput genome sequencing technologies have accelerated the efficient discovery of novel genomes. De novo assembly is the first and one of the most computationally intensive step to analyze such novel genomes. In this work, we addressed the problem of parallelizing the de Bruijn graph based de novo genome sequence assembly on distributed memory systems. We proposed a new tool, Spaler, which assembles short reads efficiently and accurately. Spaler is based on Spark framework and GraphX API. We compared the performance of Spaler to other distributed memory based assemblers, in particular, ABySS, Ray and SWAP-Assembler. The results show that Spaler scales better than existing tools and produces comparable or better results in terms of solution quality.
  • Keywords
    "Merging","Assembly","Genomics","Bioinformatics","Indexes","DNA","Sparks"
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BigData.2015.7363853
  • Filename
    7363853