MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and mis...
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
With the rapid increase in throughput of long-read sequencing technologies, recent studies have explored their potential for taxonomic classification by using alignment-based approaches to reduce the impact of higher sequencing error rates. While alignment-based methods are generally slower, k-mer-based taxonomic classifiers can overcome this limit...
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Full title
MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes
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TN_cdi_doaj_primary_oai_doaj_org_article_a2533d14f4ce45eeaf6a99a818047d8b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a2533d14f4ce45eeaf6a99a818047d8b
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-024-05760-3
