Mapping Quality Estimation

Mapping Quality Estimation is a computational metric that quantifies the confidence of a read’s alignment to a specific location in a reference genome, distinguished from other alignment metrics by its focus on the uniqueness and reliability of the mapping event.

48

Publications

3.4K

Citations

205

Authors

98

Institutions

Publications per year

2017–2026

16

Authors

205

  1. DC
    David C. Schwartz

    University of Wisconsin–Madison, United States

    3 publications · 130 citations

    3

    h-index

  2. AK
    Anshul Kundaje

    Stanford University, United States

    2 publications · 167 citations

    2

    h-index

  3. SÇ
    Safiye Çelik

    Recursion (United States), United States

    2 publications · 36 citations

    2

    h-index

  4. NH
    Nathan H. Lazar

    Oregon Health & Science University, United States

    2 publications · 36 citations

    2

    h-index

  5. MT
    Maryna Taranova

    University of Michigan, United States

    2 publications · 167 citations

    2

    h-index

1–5 of 205

Venues

  1. Bioinformatics

    7 publications · 563 citations

    7

    h-index

  2. BMC Bioinformatics

    2 publications · 107 citations

    2

    h-index

  3. Genomics

    2 publications · 117 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 29 citations

    2

    h-index

  5. Journal of Computational Biology

    2 publications · 99 citations

    2

    h-index

1–5