Spectral Library Integration

Spectral Library Integration is a computational method that integrates experimentally derived spectral libraries from multiple sources to enhance the accuracy and coverage of peptide and protein identification in mass spectrometry-based proteomics by standardizing, curating, and harmonizing spectral representations across diverse datasets.

19

Publications

1.1K

Citations

109

Authors

69

Institutions

Publications per year

2017–2026

11

Authors

109

  1. BD
    B. Datt

    UNSW Sydney, Australia

    2 publications · 25 citations

    2

    h-index

  2. SB
    Sunil Bhaskaran

    City University of New York, United States

    2 publications · 25 citations

    2

    h-index

  3. BF
    B. Forster

    UNSW Sydney, Australia

    2 publications · 25 citations

    2

    h-index

  4. JK
    Jun Kikuchi

    RIKEN Center for Sustainable Resource Science, Japan

    2 publications · 46 citations

    2

    h-index

  5. LQ
    Lin Qi

    Ocean University of China, China

    2 publications · 58 citations

    2

    h-index

1–5 of 109

Venues

  1. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 14 citations

    1

    h-index

  2. International Journal of Remote Sensing

    1 publications · 11 citations

    1

    h-index

  3. The Journal of Physical Chemistry A

    1 publications · 14 citations

    1

    h-index

  4. ACS Omega

    1 publications · 23 citations

    1

    h-index

  5. Nature Methods

    1 publications · 108 citations

    1

    h-index

1–5