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Tigmint: Correcting Assembly Errors Using Linked Reads From Large Molecules

Home Page: https://doi.org/10.1186/s12859-018-2425-6

Ruby 0.05% Makefile 1.06% TeX 98.88%
misassembly-correction genome-scaffolding genome-assembly linked-reads 10xgenomics bioinformatics manuscript

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  • Use spanning molecules @lcoombe
  • Report time and memory usage @sjackman
  • Explore parameter space, optimize parameters, demonstrate parameter sensitivity @lcoombe
  • Describe the parameter of maximum distance between two reads in a molecule (50 kbp), demonstrate parameter sensitivity @lcoombe
  • Compare other assemblers @sjackman
    • DISCOVARdenovo + BESST
    • Falcon assembly of HG004 Pacbio
    • Canu assembly of N12878 Nanopore
  • Add percent reduction in breakpoints to both tables @sjackman
  • Use QUAST 5 http://cab.spbu.ru/software/quast-lg/ @sjackman
  • Analyze a synthetic data set @sjackman
    • Create synthetic paired-end and mate-pair reads with wgsim
    • Assemble the synthetic data set with ABySS
    • Create synthetic linked reads using LRsim
    • Run Tigmint and ARCS
    • Quantify precision and recall
  • Optimize LINKS parameters -a -l -z
  • Add tick mark labels to the y-axis of figure 2 @sjackman

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