Sequence Space Exploration

Sequence Space Exploration is a methodological framework in computational biology and bioinformatics that enables the systematic traversal and sampling of the vast combinatorial space of biological sequences to identify functional variants, distinguished from related approaches by its explicit focus on generating and evaluating diverse, novel sequences within a high-dimensional sequence landscape.

502

Publications

37K

Citations

2.1K

Authors

725

Institutions

Publications per year

2017–2026

215

Authors

2.1K

  1. PF
    Peter F. Stadler

    Leipzig University, Germany

    5 publications · 1.8K citations

    6

    h-index

  2. FH
    Florian Hollfelder

    University of Cambridge, United Kingdom

    5 publications · 451 citations

    6

    h-index

  3. PA
    Philip A. Romero

    University of Wisconsin–Madison, United States

    4 publications · 251 citations

    5

    h-index

  4. EB
    Erich Bornberg‐Bauer

    University of Münster, Germany

    5 publications · 471 citations

    5

    h-index

  5. CB
    Chris Bailey‐Kellogg

    Dartmouth College, United States

    5 publications · 110 citations

    5

    h-index

1–5 of 2.1K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 32 publications · 5.5K citations

    28

    h-index

  2. Nucleic Acids Research

    28 publications · 2.6K citations

    25

    h-index

  3. Nature Communications

    21 publications · 2K citations

    21

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 26 publications · 942 citations

    19

    h-index

  5. PLoS ONE

    14 publications · 2.1K citations

    13

    h-index

1–5