MetaCRS: unsupervised clustering of contigs with the recursive strategy of reducing metagenomic data...
MetaCRS: unsupervised clustering of contigs with the recursive strategy of reducing metagenomic dataset’s complexity
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
Metagenomics technology can directly extract microbial genetic material from the environmental samples to obtain their sequencing reads, which can be further assembled into contigs through assembly tools. Clustering methods of contigs are subsequently applied to recover complete genomes from environmental samples. The main problems with current clu...
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Full title
MetaCRS: unsupervised clustering of contigs with the recursive strategy of reducing metagenomic dataset’s complexity
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TN_cdi_doaj_primary_oai_doaj_org_article_d2012f6044224a1b9e2feb05ae090f01
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d2012f6044224a1b9e2feb05ae090f01
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-021-04227-z
