Blast Algorithms

BLAST Algorithms is a computational method in bioinformatics that enables efficient sequence similarity search by heuristically identifying local alignments between biological sequences through rapid seed-based matching and extension.

833

Publications

215.1K

Citations

2.7K

Authors

981

Institutions

Publications per year

2017–2026

109

Variants

Blast

Authors

2.7K

  1. TM
    Thomas Madden

    National Center for Biotechnology Information, United States

    17 publications · 43.7K citations

    15

    h-index

  2. WR
    William R. Pearson

    University of Virginia, United States

    10 publications · 921 citations

    10

    h-index

  3. JB
    Jeremy Buhler

    Washington University in St. Louis, United States

    9 publications · 495 citations

    9

    h-index

  4. WF
    Wu-chun Feng

    Virginia Tech, United States

    8 publications · 593 citations

    8

    h-index

  5. RA
    Richa Agarwala

    National Institutes of Health, United States

    7 publications · 2.7K citations

    7

    h-index

1–5 of 2.7K

Venues

  1. Nucleic Acids Research

    95 publications · 44.5K citations

    56

    h-index

  2. Bioinformatics

    132 publications · 53K citations

    56

    h-index

  3. BMC Bioinformatics

    49 publications · 33.3K citations

    29

    h-index

  4. PLoS ONE

    26 publications · 1.6K citations

    20

    h-index

  5. BMC Genomics

    18 publications · 1.4K citations

    16

    h-index

1–5