Noncoding Variant Interpretation

Noncoding Variant Interpretation is a computational and analytical framework in cancer genomics that identifies and characterizes the functional impact of genetic variants located in noncoding regions of the genome, distinguishing it from coding variant analysis by focusing on regulatory elements, noncoding RNAs, and epigenetic modifications that influence gene expression and contribute to oncogenesis.

35

Publications

2.8K

Citations

255

Authors

136

Institutions

Publications per year

2017–2026

22

Authors

255

  1. SS
    Sándor Spisák

    Semmelweis University, Hungary

    2 publications · 116 citations

    2

    h-index

  2. KL
    Kate Lawrenson

    Cedars-Sinai Medical Center, United States

    2 publications · 116 citations

    2

    h-index

  3. JS
    Ji-Heui Seo

    Dana-Farber Cancer Institute, United States

    2 publications · 116 citations

    2

    h-index

  4. VT
    Viktória Tisza

    Dana-Farber Cancer Institute, United States

    2 publications · 116 citations

    2

    h-index

  5. MM
    Mark M. Pomerantz

    Dana-Farber Cancer Institute, United States

    2 publications · 116 citations

    2

    h-index

1–5 of 255

Venues

  1. Nature Genetics

    3 publications · 1.3K citations

    3

    h-index

  2. PLoS Genetics

    2 publications · 98 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 114 citations

    2

    h-index

  4. Genome biology

    2 publications · 91 citations

    2

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 30 citations

    2

    h-index

1–5