Scaling metagenome sequence assembly with probabilistic de Bruijn graphs
Scaling metagenome sequence assembly with probabilistic de Bruijn graphs
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Deep sequencing has enabled the investigation of a wide range of environmental microbial ecosystems, but the high memory requirements for {\em de novo} assembly of short-read shotgun sequencing data from these complex populations are an increasingly large practical barrier. Here we introduce a memory-efficient graph representation with which we can...
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Full title
Scaling metagenome sequence assembly with probabilistic de Bruijn graphs
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TN_cdi_proquest_journals_2082342531
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2082342531
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1112.4193
