MetaSort untangles metagenome assembly by reducing microbial community complexity
MetaSort untangles metagenome assembly by reducing microbial community complexity
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Most current approaches to analyse metagenomic data rely on reference genomes. Novel microbial communities extend far beyond the coverage of reference databases and
de novo
metagenome assembly from complex microbial communities remains a great challenge. Here we present a novel experimental and bioinformatic framework, metaSort, for effective...
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MetaSort untangles metagenome assembly by reducing microbial community complexity
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TN_cdi_doaj_primary_oai_doaj_org_article_848e7faf7be0413696f7c8d9de4c4b4c
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_848e7faf7be0413696f7c8d9de4c4b4c
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/ncomms14306
