Noncoding Variant Analysis

Noncoding Variant Analysis is a computational and statistical methodology in genomics that identifies and interprets genetic variation in non-protein-coding regions of the genome to assess their potential regulatory or functional impact on gene expression and disease phenotypes.

137

Publications

12.5K

Citations

1.7K

Authors

553

Institutions

Publications per year

2017–2026

79

Authors

1.7K

  1. MJ
    Mark J. Daly

    Broad Institute, United States

    5 publications · 1.1K citations

    5

    h-index

  2. NA
    Noor Ahmad Shaik

    King Abdulaziz University, Saudi Arabia

    4 publications · 82 citations

    4

    h-index

  3. BI
    Barry I. Freedman

    Wake Forest University, United States

    4 publications · 146 citations

    4

    h-index

  4. LC
    Li Chen

    Emory University, United States

    4 publications · 122 citations

    4

    h-index

  5. SB
    Stephen B. Montgomery

    Stanford University, United States

    4 publications · 160 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. Bioinformatics

    9 publications · 1K citations

    9

    h-index

  2. Nature Genetics

    8 publications · 2.8K citations

    8

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 431 citations

    7

    h-index

  4. Nucleic Acids Research

    7 publications · 370 citations

    7

    h-index

  5. Nature Communications

    6 publications · 444 citations

    6

    h-index

1–5