Reference-based Clustering

Reference-Based Clustering is a computational method in microbial ecology that clusters DNA sequences into Operational Taxonomic Units by aligning them to a predefined reference database of known sequences, distinguishing it from de novo clustering through its reliance on external taxonomic benchmarks for sequence assignment.

36

Publications

5.6K

Citations

155

Authors

67

Institutions

Publications per year

2017–2026

13

Authors

155

  1. YA
    Yong‐Yeol Ahn

    Indiana University Bloomington, United States

    4 publications · 176 citations

    4

    h-index

  2. AJ
    Alexander J. Gates

    Northeastern University, United States

    4 publications · 176 citations

    4

    h-index

  3. IC
    Ilse Cleenwerck

    Ghent University, Belgium

    2 publications · 80 citations

    2

    h-index

  4. KV
    Karin Verspoor

    The University of Melbourne, Australia

    2 publications · 242 citations

    2

    h-index

  5. JB
    James Bailey

    The University of Melbourne, Australia

    2 publications · 242 citations

    2

    h-index

1–5 of 155

Venues

  1. Bioinformatics

    3 publications · 2.7K citations

    3

    h-index

  2. PeerJ

    3 publications · 383 citations

    3

    h-index

  3. BMC Bioinformatics

    3 publications · 58 citations

    3

    h-index

  4. Journal of Machine Learning Research

    JMLR · 2 publications · 167 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 146 citations

    2

    h-index

1–5