Taxonomic Assignment Algorithms

Taxonomic Assignment Algorithms is a computational methodology that systematically classifies microbial sequences into taxonomic hierarchies by comparing query 16S ribosomal RNA gene sequences against reference databases using sequence similarity, probabilistic models, or machine learning techniques to infer phylogenetic or taxonomic identity.

326

Publications

59.7K

Citations

1.6K

Authors

727

Institutions

Publications per year

2017–2026

162

Authors

1.6K

  1. MG
    Michael Goodfellow

    Newcastle University, United Kingdom

    10 publications · 480 citations

    10

    h-index

  2. SL
    Sarah L. Westcott

    University of Michigan, United States

    5 publications · 1.5K citations

    5

    h-index

  3. PD
    Patrick D. Schloss

    University of Michigan, United States

    5 publications · 1.5K citations

    5

    h-index

  4. TM
    Teresita M. Porter

    University of Guelph, Canada

    5 publications · 384 citations

    5

    h-index

  5. AB
    Agnès Bouchez

    Université Savoie Mont Blanc, France

    4 publications · 247 citations

    4

    h-index

1–5 of 1.6K

Venues

  1. PLoS ONE

    30 publications · 3.9K citations

    23

    h-index

  2. Molecular Ecology Resources

    24 publications · 2.4K citations

    22

    h-index

  3. Bioinformatics

    18 publications · 1.1K citations

    14

    h-index

  4. 13

    h-index

  5. BMC Bioinformatics

    13 publications · 926 citations

    13

    h-index

1–5