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Assembly of Long Error-Prone Reads Using de Bruijn Graphs

Yu Lin, View ORCID ProfileJeffrey Yuan, Mikhail Kolmogorov, Max W. Shen, Pavel A. Pevzner
doi: https://doi.org/10.1101/048413
Yu Lin
Department of Computer Science and Engineering, University of California, San Diego
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Jeffrey Yuan
Department of Computer Science and Engineering, University of California, San Diego
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Mikhail Kolmogorov
Department of Computer Science and Engineering, University of California, San Diego
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Max W. Shen
Department of Computer Science and Engineering, University of California, San Diego
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Pavel A. Pevzner
Department of Computer Science and Engineering, University of California, San Diego
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Abstract

The recent breakthroughs in assembling long error-prone reads (such as reads generated by Single Molecule Real Time technology) were based on the overlap-layout-consensus approach and did not utilize the strengths of the alternative de Bruijn graph approach to genome assembly. Moreover, these studies often assume that applications of the de Bruijn graph approach are limited to short and accurate reads and that the overlap-layout-consensus approach is the only practical paradigm for assembling long error-prone reads. Below we show how to generalize de Bruijn graphs to assemble long error-prone reads and describe the ABruijn assembler, which results in more accurate genome reconstructions than the existing state-of-the-art algorithms.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted April 13, 2016.
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Assembly of Long Error-Prone Reads Using de Bruijn Graphs
Yu Lin, Jeffrey Yuan, Mikhail Kolmogorov, Max W. Shen, Pavel A. Pevzner
bioRxiv 048413; doi: https://doi.org/10.1101/048413
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Assembly of Long Error-Prone Reads Using de Bruijn Graphs
Yu Lin, Jeffrey Yuan, Mikhail Kolmogorov, Max W. Shen, Pavel A. Pevzner
bioRxiv 048413; doi: https://doi.org/10.1101/048413

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