Molecular Consequence Assessment

Molecular Consequence Assessment is a computational and analytical framework used in genomics to determine the functional impact of genetic variants on biological processes by predicting the effects of sequence alterations at the molecular level, distinguishing it from related methods through its focus on classifying variant-induced changes in gene products and regulatory elements.

29

Publications

1.2K

Citations

194

Authors

80

Institutions

Publications per year

2017–2026

14

Publications

29

1–5 of 29

Authors

194

  1. KS
    Kerrin S. Small

    King's College London, United Kingdom

    2 publications · 83 citations

    2

    h-index

  2. MM
    Martin Man Chun Chui

    University of Hong Kong, Hong Kong SAR China

    1 publications · 21 citations

    1

    h-index

  3. CW
    Christine Wojewoda

    Wayne State University, United States

    1 publications · 89 citations

    1

    h-index

  4. AB
    Anupam Banerjee

    Saha Institute of Nuclear Physics, India

    1 publications · 53 citations

    1

    h-index

  5. KW
    Keith Wheatley

    University of Birmingham, United Kingdom

    1 publications · 127 citations

    1

    h-index

1–5 of 194

Venues

  1. Heliyon

    1 publications · 30 citations

    1

    h-index

  2. Nucleic Acids Research

    1 publications · 19 citations

    1

    h-index

  3. 1

    h-index

  4. Bioinformatics

    1 publications · 18 citations

    1

    h-index

  5. Human Molecular Genetics

    1 publications · 51 citations

    1

    h-index

1–5