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identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
rapid identification » based identification (Expand Search), wide identification (Expand Search), early identification (Expand Search)
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Showing 1 - 11 results of 11 for search '(( library based rapid identification algorithm ) OR ( binary 2 codon optimization algorithm ))', query time: 0.36s Refine Results
  1. 1
    ReaLigands: A Ligand Library Cultivated from Experiment and Intended for Molecular Computational Catalyst Design

    ReaLigands: A Ligand Library Cultivated from Experiment and Intended for Molecular Computational Catalyst Design by Shu-Sen Chen (1777108)

    Published 2023
    “…In the library, ligands are sorted based on direct ligand-to-metal atomic connections and on denticity. …”
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  2. 2
    Identification of Macrocyclic Peptide Families from Combinatorial Libraries Containing Noncanonical Amino Acids Using Cheminformatics and Bioinformatics Inspired Clustering

    Identification of Macrocyclic Peptide Families from Combinatorial Libraries Containing Noncanonical Amino Acids Using Cheminformatics and Bioinformatics Inspired Clustering by Man-Ling Lee (2110195)

    Published 2023
    “…To overcome our inability to detect weakly enriched peptide sequences among our large data sets, we wanted to develop a clustering method that would enable the identification of peptide families. Unfortunately, utilizing traditional clustering algorithms, such as ClustalW, is not possible for this technology due to the incorporation of NCAAs in these libraries. …”
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  3. 3
    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis

    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis by Lichuang Huang (10679028)

    Published 2023
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  4. 4
    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis

    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis by Lichuang Huang (10679028)

    Published 2023
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  5. 5
    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis

    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis by Lichuang Huang (10679028)

    Published 2023
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  6. 6
    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis

    MCnebula: Critical Chemical Classes for the Classification and Boost Identification by Visualization for Untargeted LC–MS/MS Data Analysis by Lichuang Huang (10679028)

    Published 2023
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  7. 7
    Table_2_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx

    Table_2_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx by Tiira Johansson (10195292)

    Published 2021
    “…<p>Identification of human leukocyte antigen (HLA) alleles from next-generation sequencing (NGS) data is challenging because of the high polymorphism and mosaic nature of HLA genes. …”
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  8. 8
    Table_1_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx

    Table_1_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx by Tiira Johansson (10195292)

    Published 2021
    “…<p>Identification of human leukocyte antigen (HLA) alleles from next-generation sequencing (NGS) data is challenging because of the high polymorphism and mosaic nature of HLA genes. …”
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  9. 9
    Data_Sheet_1_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx

    Data_Sheet_1_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx by Tiira Johansson (10195292)

    Published 2021
    “…<p>Identification of human leukocyte antigen (HLA) alleles from next-generation sequencing (NGS) data is challenging because of the high polymorphism and mosaic nature of HLA genes. …”
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  10. 10
    Data_Sheet_2_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx

    Data_Sheet_2_Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes.docx by Tiira Johansson (10195292)

    Published 2021
    “…<p>Identification of human leukocyte antigen (HLA) alleles from next-generation sequencing (NGS) data is challenging because of the high polymorphism and mosaic nature of HLA genes. …”
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  11. 11
    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)

    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

    Published 2025
    “…Absorbance was measured at 538 nm. Identification of betalains was based on the comparison with standards of the peak’s retention time and absorbance spectrum. …”
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