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Simplitigs as an efficient and scalable representation of de Bruijn graphs.

Karel Bå IndaMichael BaymGregory Kucherov
Published in: Genome biology (2021)
de Bruijn graphs play an essential role in bioinformatics, yet they lack a universal scalable representation. Here, we introduce simplitigs as a compact, efficient, and scalable representation, and ProphAsm, a fast algorithm for their computation. For the example of assemblies of model organisms and two bacterial pan-genomes, we compare simplitigs to unitigs, the best existing representation, and demonstrate that simplitigs provide a substantial improvement in the cumulative sequence length and their number. When combined with the commonly used Burrows-Wheeler Transform index, simplitigs reduce memory, and index loading and query times, as demonstrated with large-scale examples of GenBank bacterial pan-genomes.
Keyphrases
  • neural network
  • machine learning
  • gram negative
  • amino acid
  • multidrug resistant