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BURST enables mathematically optimal short-read alignment for big data

View ORCID ProfileGabriel Al-Ghalith, View ORCID ProfileDan Knights
doi: https://doi.org/10.1101/2020.09.08.287128
Gabriel Al-Ghalith
1Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, MN 55455, USA
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Dan Knights
1Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, MN 55455, USA
2Biotechnology Institute, University of Minnesota, Minneapolis, MN 55455, USA
3Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA
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  • For correspondence: dknights@umn.edu
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Posted September 08, 2020.
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BURST enables mathematically optimal short-read alignment for big data
Gabriel Al-Ghalith, Dan Knights
bioRxiv 2020.09.08.287128; doi: https://doi.org/10.1101/2020.09.08.287128
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BURST enables mathematically optimal short-read alignment for big data
Gabriel Al-Ghalith, Dan Knights
bioRxiv 2020.09.08.287128; doi: https://doi.org/10.1101/2020.09.08.287128

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