Pipeline Benchmarking

Pipeline Benchmarking is a systematic evaluation framework used to assess and compare the performance, accuracy, and efficiency of bioinformatics pipelines in the context of metagenomic data quality control, distinguished by its focus on standardized metrics and reference datasets to enable reproducible and objective appraisal of computational methods.

44

Publications

2.6K

Citations

386

Authors

248

Institutions

Publications per year

2017–2026

32

Authors

386

  1. CE
    Christopher E. Mason

    Cornell University, United States

    2 publications · 264 citations

    2

    h-index

  2. VK
    Verena Kufner

    University of Zurich, Switzerland

    2 publications · 121 citations

    2

    h-index

  3. DD
    Dries Decap

    Ghent University, Belgium

    2 publications · 50 citations

    2

    h-index

  4. SC
    Samuel Cordey

    University of Geneva, Switzerland

    2 publications · 121 citations

    2

    h-index

  5. ES
    Eve Syrkin Wurtele

    Iowa State University, United States

    2 publications · 30 citations

    2

    h-index

1–5 of 386

Venues

  1. PLoS ONE

    6 publications · 452 citations

    6

    h-index

  2. Bioinformatics

    5 publications · 158 citations

    5

    h-index

  3. Genome biology

    5 publications · 510 citations

    5

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 167 citations

    3

    h-index

  5. BMC Bioinformatics

    3 publications · 80 citations

    3

    h-index

1–5