Insertions Detection

Insertions Detection is a metagenomic variant identification method that specifically recognizes the presence of novel nucleotide sequences absent in the reference genome by analyzing discordant read alignments and split-read evidence within high-throughput sequencing data.

321

Publications

34.1K

Citations

1.8K

Authors

681

Institutions

Publications per year

2017–2026

90

Authors

1.8K

  1. MA
    Mark A. Batzer

    Louisiana State University, United States

    7 publications · 397 citations

    7

    h-index

  2. HH
    Haig H. Kazazian

    Johns Hopkins University, United States

    4 publications · 524 citations

    4

    h-index

  3. TM
    Tobias Marschall

    Heinrich Heine University Düsseldorf, Germany

    4 publications · 545 citations

    4

    h-index

  4. EE
    Evan E. Eichler

    University of Washington, United States

    4 publications · 547 citations

    4

    h-index

  5. JG
    Josefa González

    Institut de Biologia Evolutiva, Spain

    4 publications · 352 citations

    4

    h-index

1–5 of 1.8K

Venues

  1. Nucleic Acids Research

    27 publications · 2.8K citations

    23

    h-index

  2. Bioinformatics

    27 publications · 3.9K citations

    22

    h-index

  3. BMC Genomics

    21 publications · 900 citations

    18

    h-index

  4. PLoS ONE

    14 publications · 10.6K citations

    13

    h-index

  5. Genome Research

    GR · 12 publications · 3.1K citations

    12

    h-index

1–5