RaptGen-UI: an integrated platform for exploring and analyzing the sequence landscape of HT-SELEX experiments
This software is a web-based application running locally on the user's PC. The frontend is constructed using Next.js and Plotly.js with TypeScript, while the backend is developed using FastAPI, Celery, PostgreSQL RDBMS, and Redis with Python. Each module is encapsulated within Docker containers and deployed via Docker Compose. The system supports both CUDA GPU and CPU-only environments. Source code and documentation are freely available at https://github.com/hmdlab/RaptGen-UI.
Authors
- Akiko Ichinose (ORCID: https://orcid.org/0009-0007-5969-2389)
- Michiaki Hamada (ORCID: https://orcid.org/0000-0001-9466-1034)
- Natsuki Iwano (ORCID: https://orcid.org/0000-0001-5603-8903)
- Ryota Nakano (ORCID: https://orcid.org/0000-0002-1844-2865)
Institutions
- Waseda University (JP)
- National Institute of Advanced Industrial Science and Technology (JP)
- Nippon Medical School (JP)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf120
- Primary Topic
- Distributed and Parallel Computing Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- Core Research for Evolutional Science and Technology