Paired-end Mapping Analysis

Paired-End Mapping Analysis is a genomic method that identifies structural variations, including copy number variations, by analyzing the alignment distance and orientation of paired-end sequencing reads relative to a reference genome, thereby distinguishing discordant read pairs indicative of insertions, deletions, or other structural anomalies.

14

Publications

2.4K

Citations

94

Authors

37

Institutions

Publications per year

2017–2026

2

Authors

94

  1. ME
    Matthew E. Hurles

    Wellcome Sanger Institute, United Kingdom

    2 publications · 1.5K citations

    2

    h-index

  2. XF
    Xian Fan

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 193 citations

    1

    h-index

  3. CB
    Christopher B. Ford

    Broad Institute, United States

    1 publications · 26 citations

    1

    h-index

  4. EE
    Evan E. Eichler

    University of Washington, United States

    1 publications · 62 citations

    1

    h-index

  5. YW
    Yong‐Bin Wang

    Southern University of Science and Technology, China

    1 publications · 18 citations

    1

    h-index

1–5 of 94

Venues

  1. BMC Genomics

    2 publications · 44 citations

    2

    h-index

  2. Genome Research

    GR · 2 publications · 362 citations

    2

    h-index

  3. The Plant Journal

    1 publications · 72 citations

    1

    h-index

  4. Current Protocols in Bioinformatics

    1 publications · 193 citations

    1

    h-index

  5. Science

    1 publications · 1.2K citations

    1

    h-index

1–5