Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics-Reference-Cited by-同舟云学术

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Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics

Published:2019-06 Issue:6 Volume:26 Page:509-518
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Menegaux Romain¹²,Vert Jean-Philippe¹²³⁴

Affiliation:

1. MINES ParisTech, PSL Research University, CBIO—Centre for Computational Biology, Paris, France.

2. Institut Curie, PSL Research University, INSERM, U900, Paris, France.

3. Ecole Normale Supérieure, Department of Mathematics and Applications, CNRS, PSL Research University, Paris, France.

4. Google Brain, Paris, France.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0174

Reference24 articles.

1. Characteristics of 454 pyrosequencing data--enabling realistic simulation with flowsim

2. Enriching Word Vectors with Subword Information

3. The NIH Human Microbiome Project

4. MEGAN analysis of metagenomic data

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning methods in metagenomics: a review;Microbial Genomics;2024-04-17

2. MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes;BMC Bioinformatics;2024-04-16

3. Review on computer-assisted biosynthetic capacities elucidation to assess metabolic interactions and communication within microbial communities;Critical Reviews in Microbiology;2024-01-25

4. HiTaxon: a hierarchical ensemble framework for taxonomic classification of short reads;Bioinformatics Advances;2024-01-01

5. MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes;2023-12-02

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