QuiCAT: a scalable and flexible framework for mapping synthetic sequences
QuiCAT is available as a Python package to be installed. The source code is available at https://github.com/theislab/quicat.
Authors
- Debora Lucarelli
- Tomaž Kos
- Rupert Öllinger (ORCID: https://orcid.org/0000-0002-2292-5982)
- C. A. Shull
- Silvia Jiménez (ORCID: https://orcid.org/0000-0001-7540-8009)
- Roland Rad (ORCID: https://orcid.org/0000-0002-6849-9659)
- Fabian Joachim Theis (ORCID: https://orcid.org/0000-0002-2419-1943)
- Dieter Saur (ORCID: https://orcid.org/0000-0001-5874-0210)
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- TUM Klinikum (DE)
- Helmholtz Zentrum München (DE)
- Translational Research in Oncology (FR)
- Technical University of Munich (DE)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1093/bioinformatics/btaf607
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Deutsche Krebshilfe
- Deutschen Konsortium für Translationale Krebsforschung