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

Authors

815

  1. AV
    Anne‐Mieke Vandamme

    Rega Institute for Medical Research, Belgium

    10 publications · 612 citations

    10

    h-index

  2. RW
    Robert W. Shafer

    Stanford University, United States

    8 publications · 1.2K citations

    8

    h-index

  3. MZ
    Maurizio Zazzi

    University of Siena, Italy

    8 publications · 267 citations

    8

    h-index

  4. RK
    Rolf Kaiser

    University of Cologne, Germany

    8 publications · 431 citations

    8

    h-index

  5. KV
    Kristel Van Laethem

    Rega Institute for Medical Research, Belgium

    6 publications · 463 citations

    6

    h-index

1–5 of 815

Venues

  1. Journal of Antimicrobial Chemotherapy

    JAC · 7 publications · 180 citations

    7

    h-index

  2. AIDS

    7 publications · 332 citations

    7

    h-index

  3. PLoS ONE

    6 publications · 249 citations

    6

    h-index

  4. Antiviral Therapy

    6 publications · 355 citations

    6

    h-index

  5. AIDS Research and Human Retroviruses

    6 publications · 122 citations

    6

    h-index

1–5