Resistance Interpretation Algorithms
Resistance Interpretation Algorithms is a computational method that systematically translates viral genetic sequence data into predicted phenotypic resistance profiles by integrating curated knowledge of resistance-associated mutations and their impacts on drug efficacy.
89
Publications
4K
Citations
815
Authors
336
Institutions
Publications per year
2017–2026
21
Variants
Resistance Interpretation Systems
Parents
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Rega Institute for Medical Research
Leuven, Belgium
11 h-index
35 publications
2K citations
Stanford University
Stanford, United States
10 h-index
27 publications
2.9K citations
KU Leuven
Leuven, Belgium
9 h-index
30 publications
1.6K citations
Inserm
Paris, France
8 h-index
39 publications
939 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
8 h-index
18 publications
884 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
8 h-index
31 publications
1.9K citations

University of Cologne
Cologne, Germany
8 h-index
18 publications
1.2K citations
University College London
London, United Kingdom
7 h-index
24 publications
556 citations
1–8 of 336
JAC · 7 publications · 180 citations
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7 publications · 332 citations
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6 publications · 249 citations
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6 publications · 355 citations
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6 publications · 122 citations
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