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Taxometer: Improving taxonomic classification of metagenomics contigs

Taxometer: Improving taxonomic classification of metagenomics contigs

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a2e85bf5648d470399ac3f8d5f6821ef

Taxometer: Improving taxonomic classification of metagenomics contigs

About this item

Full title

Taxometer: Improving taxonomic classification of metagenomics contigs

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2024-09, Vol.15 (1), p.8357-9, Article 8357

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

For taxonomy based classification of metagenomics assembled contigs, current methods use sequence similarity to identify their most likely taxonomy. However, in the related field of metagenomic binning, contigs are routinely clustered using information from both the contig sequences and their abundance. We introduce Taxometer, a neural network base...

Alternative Titles

Full title

Taxometer: Improving taxonomic classification of metagenomics contigs

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a2e85bf5648d470399ac3f8d5f6821ef

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a2e85bf5648d470399ac3f8d5f6821ef

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-024-52771-y

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