Sequence-function Analysis

Sequence-Function Analysis is a methodological framework in molecular evolution and protein engineering that establishes quantitative relationships between nucleic acid or protein sequences and their functional phenotypes derived from high-throughput selection experiments such as ribosome display.

105

Publications

8.5K

Citations

473

Authors

211

Institutions

Publications per year

2017–2026

40

Authors

473

  1. CS
    Chris Sander

    Memorial Sloan Kettering Cancer Center, United States

    4 publications · 162 citations

    4

    h-index

  2. PA
    Philip A. Romero

    University of Wisconsin–Madison, United States

    3 publications · 164 citations

    3

    h-index

  3. JP
    Jürgen Pleiss

    University of Stuttgart, Germany

    3 publications · 117 citations

    3

    h-index

  4. GT
    Gregg T. Beckham

    National Laboratory of the Rockies, United States

    3 publications · 81 citations

    3

    h-index

  5. JE
    Japheth E. Gado

    National Laboratory of the Rockies, United States

    3 publications · 81 citations

    3

    h-index

1–5 of 473

Venues

  1. Nucleic Acids Research

    14 publications · 3.3K citations

    13

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 221 citations

    7

    h-index

  3. Nature Communications

    6 publications · 583 citations

    6

    h-index

  4. PLoS ONE

    6 publications · 246 citations

    6

    h-index

  5. Bioinformatics

    4 publications · 189 citations

    4

    h-index

1–5