Sequence Coverage Assessment

Sequence Coverage Assessment is a proteomic quality control metric that quantifies the proportion of a protein's theoretical amino acid sequence confirmed by experimentally observed peptide fragments in mass spectrometry-based proteomics, thereby evaluating the completeness and reliability of protein identification.

371

Publications

32K

Citations

2.4K

Authors

632

Institutions

Publications per year

2017–2026

121

Authors

2.4K

  1. JS
    Jennifer S. Brodbelt

    The University of Texas at Austin, United States

    21 publications · 595 citations

    16

    h-index

  2. JJ
    Joshua J. Coon

    University of Wisconsin–Madison, United States

    6 publications · 790 citations

    6

    h-index

  3. JA
    Joseph A. Loo

    University of California, Los Angeles, United States

    5 publications · 197 citations

    6

    h-index

  4. CL
    Carter Lantz

    University of California, Los Angeles, United States

    5 publications · 197 citations

    6

    h-index

  5. BW
    Benqian Wei

    University of California, Los Angeles, United States

    5 publications · 197 citations

    6

    h-index

1–5 of 2.4K

Venues

  1. Analytical Chemistry

    58 publications · 2.7K citations

    33

    h-index

  2. Journal of Proteome Research

    JPR · 38 publications · 2.2K citations

    25

    h-index

  3. Journal of the American Society for Mass Spectrometry

    JASMS · 35 publications · 1.6K citations

    24

    h-index

  4. PLoS ONE

    20 publications · 1.7K citations

    17

    h-index

  5. PROTEOMICS

    17 publications · 952 citations

    15

    h-index

1–5