Sequence Artifact Detection

Sequence Artifact Detection is a computational method in bioinformatics that identifies anomalous or non-biological patterns in sequencing data arising from experimental or technical errors, distinguishing it from related quality assessment techniques by specifically targeting spurious signals introduced during sample preparation, sequencing, or data processing.

72

Publications

13.1K

Citations

337

Authors

142

Institutions

Publications per year

2017–2026

17

Authors

337

  1. IA
    Irina Abnizova

    Wellcome Sanger Institute, United Kingdom

    2 publications · 77 citations

    2

    h-index

  2. RT
    René te Boekhorst

    University of Hertfordshire, United Kingdom

    2 publications · 77 citations

    2

    h-index

  3. SL
    Steven Leonard

    Wellcome Sanger Institute, United Kingdom

    2 publications · 80 citations

    2

    h-index

  4. DK
    David K. Jackson

    Wellcome Sanger Institute, United Kingdom

    2 publications · 80 citations

    2

    h-index

  5. JT
    Jeffrey T. Leek

    Johns Hopkins University, United States

    2 publications · 632 citations

    2

    h-index

1–5 of 337

Venues

  1. Bioinformatics

    12 publications · 3.4K citations

    12

    h-index

  2. Nucleic Acids Research

    5 publications · 1.3K citations

    5

    h-index

  3. BMC Genomics

    4 publications · 288 citations

    4

    h-index

  4. BMC Bioinformatics

    3 publications · 353 citations

    3

    h-index

  5. PubMed

    Repository · 3 publications · 1.2K citations

    3

    h-index

1–5