Read Mapping Quality Control

Read Mapping Quality Control is a systematic computational assessment procedure that evaluates the accuracy and reliability of aligned sequencing reads to a reference genome by analyzing alignment metrics, mapping scores, and coverage patterns to identify technical artifacts or biases in RNA sequencing data.

12

Publications

3.9K

Citations

67

Authors

35

Institutions

Publications per year

2017–2026

6

Authors

67

  1. SA
    Simon Andrews

    Babraham Institute, United Kingdom

    2 publications · 3.3K citations

    2

    h-index

  2. SW
    Steven Wingett

    Babraham Institute, United Kingdom

    2 publications · 3.3K citations

    2

    h-index

  3. KP
    Kourosh Parsa

    Canadian Space Agency, Canada

    1 publications · 68 citations

    1

    h-index

  4. XG
    Xiaocheng Gu

    Peking University, China

    1 publications · 14 citations

    1

    h-index

  5. AL
    Anna Lapuk

    University of British Columbia, Canada

    1 publications · 68 citations

    1

    h-index

1–5 of 67

Venues

  1. BMC Genomics

    3 publications · 378 citations

    3

    h-index

  2. BMC Bioinformatics

    2 publications · 63 citations

    2

    h-index

  3. F1000Research

    2 publications · 3.3K citations

    2

    h-index

  4. Genome biology

    2 publications · 48 citations

    2

    h-index

  5. PLoS Computational Biology

    1 publications · 102 citations

    1

    h-index

1–5