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Exploring neighborhoods in large metagenome assembly graphs reveals hidden sequence diversity

View ORCID ProfileC. Titus Brown, View ORCID ProfileDominik Moritz, View ORCID ProfileMichael P. O’Brien, View ORCID ProfileFelix Reidl, View ORCID ProfileTaylor Reiter, View ORCID ProfileBlair D. Sullivan
doi: https://doi.org/10.1101/462788
C. Titus Brown
aDepartment of Population Health and Reproduction, University of California Davis
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  • For correspondence: ctbrown@ucdavis.edu vbsul-liv@ncsu.edu
Dominik Moritz
bPaul G. Allen School of Computer Science and Engineering, University of Washington
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Michael P. O’Brien
cDepartment of Computer Science, NC State University
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Felix Reidl
cDepartment of Computer Science, NC State University
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Taylor Reiter
aDepartment of Population Health and Reproduction, University of California Davis
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Blair D. Sullivan
cDepartment of Computer Science, NC State University
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  • For correspondence: ctbrown@ucdavis.edu vbsul-liv@ncsu.edu
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Posted November 05, 2018.
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Exploring neighborhoods in large metagenome assembly graphs reveals hidden sequence diversity
C. Titus Brown, Dominik Moritz, Michael P. O’Brien, Felix Reidl, Taylor Reiter, Blair D. Sullivan
bioRxiv 462788; doi: https://doi.org/10.1101/462788
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Exploring neighborhoods in large metagenome assembly graphs reveals hidden sequence diversity
C. Titus Brown, Dominik Moritz, Michael P. O’Brien, Felix Reidl, Taylor Reiter, Blair D. Sullivan
bioRxiv 462788; doi: https://doi.org/10.1101/462788

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