Protein Inference

Protein Inference is the computational process of deducing the presence of specific proteins in a biological sample from the identification of peptides observed in mass spectrometry experiments, distinguished by its reliance on resolving the many-to-many relationship between peptides and proteins.

314

Publications

32.7K

Citations

1.5K

Authors

573

Institutions

Publications per year

2017–2026

104

Authors

1.5K

  1. MD
    Minghua Deng

    Peking University, China

    6 publications · 1K citations

    6

    h-index

  2. MW
    Martin Weigt

    Sorbonne Université, France

    6 publications · 428 citations

    6

    h-index

  3. LK
    Lukas Käll

    Science for Life Laboratory, Sweden

    6 publications · 732 citations

    6

    h-index

  4. FS
    Fengzhu Sun

    University of Southern California, United States

    5 publications · 987 citations

    5

    h-index

  5. ME
    Martin Eisenacher

    Ruhr University Bochum, Germany

    5 publications · 297 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. Bioinformatics

    32 publications · 3K citations

    25

    h-index

  2. Journal of Proteome Research

    JPR · 29 publications · 3.2K citations

    22

    h-index

  3. BMC Bioinformatics

    14 publications · 542 citations

    13

    h-index

  4. PLoS Computational Biology

    10 publications · 433 citations

    10

    h-index

  5. Molecular & Cellular Proteomics

    MCP · 10 publications · 522 citations

    10

    h-index

1–5