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  • Description

    is a k-mer spectrum-based read error corrector, designed to correct large datasets with a very low memory footprint. It uses the disk streaming k-mer counting algorithm contained in the GATB library, and inserts solid k-mers in a bloom-filter. The correction procedure is similar to the Musket multistage approach. Bloocoo yields similar results while requiring far less memory: as an example, it can correct whole human genome re-sequencing reads at 70 x coverage with less than 4GB of memory.

  • Usage Notes

    Executable called with capitol B: Bloocoo

  • Installation

    Use the following command to install this title with the CLI client: $ biogrids-cli install bloocoo Copy to clipboard Available operating systems: Linux 64, OS X INTEL
  • Primary Citation*

    G. Benoit, D. Lavenier, C. Lemaitre, and R. G.. 2014. Bloocoo, a memory efficient read corrector. European Conference on Computational Biology.

    • *Full citation information available through