Unique Molecular Identifiers Don’t Need to be Unique: A Collision-Aware Estimator for RNA-Seq Quantification
RNA-sequencing (RNA-seq) relies on Unique Molecular Identifiers (UMIs) to accurately quantify gene expression after PCR amplification. Longer UMIs minimize collisions-where two distinct transcripts are assigned the same UMI-at the expense of increased sequencing and synthesis costs. However, it is not clear how long UMIs need to be in practice, especially given the nonuniformity of the empirical UMI distribution. In this work, we develop a method-of-moments estimator that accounts for UMI collisions, accurately quantifying gene expression and preserving downstream biological insights. We show that UMIs need not be unique: shorter UMIs can be used with a more sophisticated estimator.
Authors
- Rafael A. Irizarry (ORCID: https://orcid.org/0000-0002-3944-4309)
- Tavor Z. Baharav (ORCID: https://orcid.org/0000-0001-8924-0243)
- Dylan Agyemang
Institutions
- Broad Institute (US)
- University of North Carolina at Chapel Hill (US)
- Harvard University (US)
- Dana-Farber Cancer Institute (US)
Publication Details
- Journal
- Journal of Computational Biology
- Published
- 2026-09-15
- DOI
- https://doi.org/10.1177/15578666261477771
- Primary Topic
- Molecular Biology Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Human Genome Research Institute
- National Institute of General Medical Sciences