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Reference-free discovery with barcoded single-cell sequencing

  • Roozbeh Dehghannasiri
  • , Marek Kokot
  • , Alexander L. Starr
  • , Jamie Maziarz
  • , Tal Gordon
  • , Serena Y. Tan
  • , Peter L. Wang
  • , Ayelet Voskoboynik
  • , Jacob M. Musser
  • , Sebastian Deorowicz
  • , Julia Salzman
  • Stanford University
  • Yale University

Research output: Contribution to journal › Article › peer-review

Abstract

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).

Original languageEnglish
JournalNature Biotechnology
DOIs
Publication statusAccepted/In press - 2026

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Biomedical Engineering
  • Molecular Medicine

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