MersV1, Ncbi, Merge, bibRecord, 002116

Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics.

Identifieur interne : 002116 ( Ncbi/Merge ); précédent : 002115; suivant : 002117

Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics.

Auteurs : Romain Menegaux [France] ; Jean-Philippe Vert [France]

Source :

Journal of computational biology : a journal of computational molecular cell biology [ 1557-8666 ] ; 2019.

RBID : pubmed:30785347

Abstract

We propose a new model for fast classification of DNA sequences output by next-generation sequencing machines. The model, which we call fastDNA, embeds DNA sequences in a vector space by learning continuous low-dimensional representations of thek-mers it contains. We show on metagenomics benchmarks that it outperforms the state-of-the-art methods in terms of accuracy and scalability.

DOI: 10.1089/cmb.2018.0174
PubMed: 30785347

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pubmed:30785347

Le document en format XML

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<front><div type="abstract" xml:lang="en"><b>We propose a new model for fast classification of DNA sequences output by next-generation sequencing machines. The model, which we call fastDNA, embeds DNA sequences in a vector space by learning continuous low-dimensional representations of the</b>
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Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics.

Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics.

Source :

Abstract

Links toward previous steps (curation, corpus...)

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