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mock community reference sequences  (Zymo Research)


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    Structured Review

    Zymo Research mock community reference sequences
    Mock Community Reference Sequences, supplied by Zymo Research, used in various techniques. Bioz Stars score: 95/100, based on 126 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/sequence+standard+reference/ZymoBIOMICS+HMW+DNA+Standard/pm35789207-158-1-0
    Average 95 stars, based on 126 article reviews
    mock community reference sequences - by Bioz Stars, 2026-09
    95/100 stars

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    Related Articles

    other:

    Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads
    Article Snippet: The Zymo D6322 datasets, sequenced using R9 and R10 flow cells, each contain seven species.

    Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads
    Article Snippet: The Zymo D6322 R9 dataset was previously sequenced by [ ].

    High Molecular Weight:

    Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads
    Article Snippet: .. The Zymo D6322 datasets were sequenced from the ZymoBIOMICS High Molecular Weight DNA Mock Microbial sample. ..

    Construct:

    Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads
    Article Snippet: .. The SRA accession lists used to construct the in-sample and out-of-sample datasets were originally compiled by the MetageNN authors [ ] and are available on their GitHub repository at https://github.com/CSB5/MetageNN/tree/d7c858cee1b88bf78fb1ea7d120b3be180a52b69 Public Zymo D6322 R9 Nanopore sequencing data were obtained from the UNCALLED study [ ], available under NCBI BioProject PRJNA604456. .. Newly sequenced Zymo D6322 R10 data are available under BioProject PRJNA1240873.

    Nanopore Sequencing:

    Article Title: Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads
    Article Snippet: .. The SRA accession lists used to construct the in-sample and out-of-sample datasets were originally compiled by the MetageNN authors [ ] and are available on their GitHub repository at https://github.com/CSB5/MetageNN/tree/d7c858cee1b88bf78fb1ea7d120b3be180a52b69 Public Zymo D6322 R9 Nanopore sequencing data were obtained from the UNCALLED study [ ], available under NCBI BioProject PRJNA604456. .. Newly sequenced Zymo D6322 R10 data are available under BioProject PRJNA1240873.



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