Spike-in Control Evaluation

Spike-In Control Evaluation is a methodological procedure in metagenomic data quality control that involves the introduction of known quantities of exogenous biological or synthetic nucleic acid sequences to assess and calibrate the accuracy, sensitivity, and reproducibility of sequencing and bioinformatic workflows.

22

Publications

1.3K

Citations

161

Authors

74

Institutions

Publications per year

2017–2026

11

Authors

161

  1. YY
    Ying Yu

    Fudan University, China

    2 publications · 182 citations

    2

    h-index

  2. TR
    Tim R. Mercer

    The University of Queensland, Australia

    2 publications · 71 citations

    2

    h-index

  3. LS
    Leming Shi

    National Center for Toxicological Research, United States

    2 publications · 182 citations

    2

    h-index

  4. IW
    Ira W. Deveson

    Garvan Institute of Medical Research, Australia

    2 publications · 71 citations

    2

    h-index

  5. TW
    Ted Wong

    Garvan Institute of Medical Research, Australia

    2 publications · 71 citations

    2

    h-index

1–5 of 161

Venues

  1. BMC Research Notes

    3 publications · 44 citations

    3

    h-index

  2. Nature Communications

    2 publications · 189 citations

    2

    h-index

  3. Bioinformatics

    2 publications · 83 citations

    2

    h-index

  4. Laboratory Medicine

    1 publications · 18 citations

    1

    h-index

  5. BMC Biotechnology

    1 publications · 42 citations

    1

    h-index

1–5