• DocumentCode
    3714657
  • Title

    Error correction and DeNovo genome Assembly for the MinIon sequencing reads mixing Illumina short reads

  • Author

    Mehdi Kchouk;Mourad Elloumi

  • Author_Institution
    Laboratory of Technologies of Information and Communication and Electrical Engineering (LaTICE), National Superior School of Engineers of Tunis (ENSIT), University of Tunis, Tunisia
  • fYear
    2015
  • Firstpage
    1785
  • Lastpage
    1785
  • Abstract
    The new MinIon sequencer provided by the Oxford Nanopore Technologies is characterized by his small size and is powered from the USB 3.0 port of a laptop computer. This sequencer produces long reads with a low production costs and with high throughput. However, long reads generated by the MinIon sequencer have a high error rate (about 25% [1]) which deteriorates the quality of results obtained by analyzing these long reads. A solution to correct long reads is to use the high coverage and the high quality of short reads generated by the second generation sequencing technology. Here, we present MiRCA (MinIon Reads Correction Algorithm) a hybrid pipeline that detects and corrects errors for MinIon long reads using preassembled Illumina MiSeq short reads and we use the Overlap-Layout-Consensus(OLC) approach to assemble the corrected reads. MiRCA is able to correct: deletions, insertions and substitutions errors by forming a multiple sequence alignment and does not require a large memory space. We use the Saccharomyces cerevisiae W303 genome and the Escherichia coli K-12 MG1655 bacterial genome to test the efficiency of our pipeline.
  • Keywords
    Bioinformatics
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BIBM.2015.7359962
  • Filename
    7359962