Profile-based Searching

Profile-Based Searching is a sequence similarity search method that uses a position-specific scoring model derived from a multiple sequence alignment to detect distantly related homologs by capturing conserved and variable regions across evolutionarily related sequences.

57

Publications

18.5K

Citations

196

Authors

101

Institutions

Publications per year

2017–2026

7

Variants

Profile-based Sequence Searching

Authors

196

  1. SR
    Sean R. Eddy

    Howard Hughes Medical Institute, United States

    3 publications · 13.1K citations

    3

    h-index

  2. RF
    ROBERT FINN

    European Bioinformatics Institute, United Kingdom

    3 publications · 9.3K citations

    3

    h-index

  3. JS
    Johannes Söding

    Max Planck Institute for Biophysical Chemistry, Germany

    3 publications · 505 citations

    3

    h-index

  4. NS
    Narayanaswamy Srinivasan

    Indian Institute of Science Bangalore, India

    2 publications · 35 citations

    2

    h-index

  5. DZ
    Di Zou

    Education University of Hong Kong, Hong Kong SAR China

    2 publications · 94 citations

    2

    h-index

1–5 of 196

Venues

  1. Bioinformatics

    11 publications · 4.3K citations

    11

    h-index

  2. Nucleic Acids Research

    10 publications · 11.4K citations

    10

    h-index

  3. 3

    h-index

  4. Computer applications in the biosciences

    CABIOS · 2 publications · 343 citations

    2

    h-index

  5. BMC Genomics

    2 publications · 163 citations

    2

    h-index

1–5