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
Parents
29
David Grimwade, Kathy Howe, Stephen Langrbeer et al. · British Journal of Haematology · 1996 · 127 citations
Mahendra Kumar Trivedi · Journal of Food and Nutrition Sciences · 2015 · 56 citations · Full text
Mary Hongying Cheng, James Krieger, Anupam Banerjee et al. · iScience · 2022 · 53 citations · Full text
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Technical University of Munich
Munich, Germany
2 h-index
3 publications
65 citations
King's College London
London, United Kingdom
2 h-index
11 publications
523 citations
Virginia Tech
Blacksburg, United States
1 h-index
3 publications
51 citations
Kashan University of Medical Sciences
Kāshān, Iran
1 h-index
1 publications
16 citations
Toshiba (Japan)
Tokyo, Japan
1 h-index
1 publications
42 citations
Jichi Medical University
Shimotsuke, Japan
1 h-index
14 publications
266 citations
London Postgraduate Medical and Dental Education
London, United Kingdom
1 h-index
1 publications
127 citations
Assam University
Silchar, India
1 h-index
5 publications
115 citations
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1 publications · 30 citations
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1 publications · 19 citations
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1 publications · 22 citations
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1 publications · 18 citations
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1 publications · 51 citations
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