Rosace-AA: enhancing interpretation of deep mutational scanning data with amino acid substitution and position-specific insights
An implementation of Rosace-AA as an R package and vignettes can be found at this repository: https://github.com/pimentellab/rosace-aa. Scripts for processing data and generating figures in this article are also available on GitHub (https://github.com/roserao/rosaceaa-paper-script).
Authors
- Mingsen Wang (ORCID: https://orcid.org/0000-0001-5599-3730)
- James S. Fraser (ORCID: https://orcid.org/0000-0002-5080-2859)
- Matthew Jungsuk Howard (ORCID: https://orcid.org/0000-0002-7518-2430)
- Willow Coyote‐Maestas (ORCID: https://orcid.org/0000-0001-9614-5340)
- Christian B. Macdonald (ORCID: https://orcid.org/0000-0002-0201-8832)
- Harold Pimentel (ORCID: https://orcid.org/0000-0001-8556-2499)
- J. N. K. Rao (ORCID: https://orcid.org/0000-0002-4331-8786)
Institutions
- Baruch College (US)
- University of California, Los Angeles (US)
- University of California, San Francisco (US)
- UCLA Health (US)
- UCLA Medical Center (US)
- Quantitative BioSciences (US)
- Laboratoire d'Informatique de Paris-Nord (FR)
- Pharmaceutical Biotechnology (Czechia) (CZ)
- Tetra Tech (United States) (US)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1093/bioadv/vbaf218
- Citations
- 1
- Primary Topic
- Evolution and Genetic Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.82