Snp Visualization

SNP Visualization is a genomic data visualization technique that specifically represents single nucleotide polymorphisms within a genome, distinguished by its focus on depicting the location, frequency, and variation type of single-base genetic differences across individuals or populations.

58

Publications

7.3K

Citations

291

Authors

124

Institutions

Publications per year

2017–2026

12

Authors

291

  1. JP
    Jonathan Pevsner

    Johns Hopkins University, United States

    3 publications · 104 citations

    3

    h-index

  2. IR
    Ingo Ruczinski

    Johns Hopkins University, United States

    2 publications · 61 citations

    2

    h-index

  3. SA
    Stephan Allgeier

    Karlsruhe Institute of Technology, Germany

    2 publications · 121 citations

    2

    h-index

  4. YG
    Yan Guo

    Xi'an Jiaotong University, China

    2 publications · 632 citations

    2

    h-index

  5. JC
    Jason C. Ting

    Eli Lilly (United States), United States

    2 publications · 61 citations

    2

    h-index

1–5 of 291

Venues

  1. Bioinformatics

    12 publications · 1.1K citations

    11

    h-index

  2. Nucleic Acids Research

    8 publications · 377 citations

    8

    h-index

  3. BMC Bioinformatics

    7 publications · 827 citations

    7

    h-index

  4. PLoS ONE

    4 publications · 361 citations

    4

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 1.5K citations

    3

    h-index

1–5