Evidence map›Paper›PMID 42239132›Full record

ArticlebioRxiv : the preprint server for biology2026

Unique molecular identifiers don't need to be unique: a collision-aware estimator for RNA-seq quantification.

Dylan Agyemang, Rafael A Irizarry, Tavor Z Baharav

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Dylan AgyemangDepartment of Statistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Rafael A IrizarryDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-3944-4309
Tavor Z BaharavDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-8924-0243

Funding

Promoting Diversity, Equity, Inclusion, and Belonging in Genomic Research.R25HG006682 · NHGRI · BROAD INSTITUTE, INC. · PI BIRREN, BRUCE W. · 2012 to 2024
$4.9M
Data Analysis Tools for Emerging High-Throughput TechnologiesR35GM131802 · NIGMS · DANA-FARBER CANCER INST · PI Rafael Angel Irizarry · 2019 to 2026
$4.1M
Overcoming bias and unwanted variability in next generation sequencingR01HG005220 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI IRIZARRY, RAFAEL ANGEL · 2010 to 2018
$3.6M
NHGRI NIH HHS R01 HG005220NHGRI NIH HHS R25 HG006682NIGMS NIH HHS R35 GM131802
6 · The paper itself

Abstract

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.

Indexed as

method-of-momentsSingle-cell RNA sequencingUnique Molecular Identifier

Identifiers

PMID42239132
PMCPMC13228633

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.