umite: fast quantification of Smart-seq3 libraries with improved UMI retrieval
umite is available at https://github.com/leoforster/umite (or via Zenodo: https://doi.org/10.5281/zenodo.18166431) and includes a Snakemake workflow for Smart-seq3 quantification.
Authors
- Jooa Hooli
- Leo Foerster (ORCID: https://orcid.org/0009-0008-5246-5463)
- Ângela T.F. Gonçalves (ORCID: https://orcid.org/0000-0002-3890-7658)
- Xiaoyu Sun (ORCID: https://orcid.org/0000-0003-3895-0047)
- Ana Martin-Villalba
- Enrico Frigoli
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University Medical Centre Mannheim (DE)
- Heidelberg University (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1093/bioinformatics/btag075
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00