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Reference-free discovery with barcoded single-cell sequencing

delete2026-04-22
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PRE
AI
R
Roozbeh Dehghannasiri
M
Marek Kokot
A
Alexander L. Starr
J
Jamie Maziarz
T
Tal Gordon
S
Serena Y. Tan
P
Peter L. Wang
A
Ayelet Voskoboynik
J
Jacob M. Musser
S
Sebastian Deorowicz *
J
Julia Salzman *
DOI:10.1038/s41587-026-03084-6delete
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Abstract

Abstract

En 中文
Single-cell RNA sequencing (scRNA-seq) analyses typically focus on alignment and differential gene expression, being blind to other transcriptome variation. Here we present sc-SPLASH for statistics-first, reference-free discovery on barcoded scRNA-seq and spatial transcriptomics; its independent BKC submodule optimizes barcoded data preprocessing and is approximately 50-fold faster than UMI-tools. sc-SPLASH discovers secreted repeat proteins in immune-like cells of sponge (Spongilla; missing from the reference) and tunicate (Ciona). sc-SPLASH extends reference-free analysis to barcoded single-cell and spatial transcriptomics data.
Keywords:
Data processing
Genomics
RNA sequencing
Transcriptomics
Life Sciences
general
Biotechnology
Biomedicine
Agriculture
Biomedical Engineering/Biotechnology
Bioinformatics

Journal

Nature Biotechnology cover
Nature Biotechnology
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41.7
Papers:
1.2W
Citations:
10.1W

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Stanford University
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yale university
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Silesian University of Technology
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stanford university
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