Syrah, a Slide-seqV2 pipeline augmentation
Carolyn E. BrewsteriD, F.G. ManniD, Blair W. Benham-PyleiD, Alejandro Sánchez AlvaradoiD
Abstract
Spatial transcriptomic techniques such as Slide-seqV2 uncover novel relationships and interactions between cell types by coupling gene expression and spatial data. Here we discuss two unexpected sources of error in Slide-seqV2 data, one physical and one computational. To address this we present an analysis pipeline augmentation, Syrah, which corrects for these errors and show that it improves both data quantity and quality over the standard pipeline alone or in combination with additional sequencing.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 3
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- SPArrOW: a flexible, interactive and scalable pipeline for spatial transcriptomics analysis
Lotte Pollaris, Bavo Vanneste, … Yvan Saeys·bioRxiv·Jul 4, 2024
- stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics
Shengquan Chen, Zhang Boheng, … Jiang Rui·BioinformaticsPeer-reviewed·Apr 25, 2021
- ResolVI - addressing noise and bias in spatial transcriptomics
Can Ergen, Nir Yosef·Nature MethodsPeer-reviewed·Sep 24, 2026
- Sensitive spatial genome wide expression profiling at cellular resolution
Robert R. Stickels, Evan M. Murray, … Fei Chen·bioRxiv·Mar 12, 2020
- Correcting spatial transcriptomics data affected by a prevalent transcript leakage problem across platforms, species, and tissues
Christina Huan Shi, Yibo Zhai, … Kevin Yuk-Lap Yip·bioRxiv·Jun 17, 2026
- MerQuaCo: a computational tool for quality control in image-based spatial transcriptomics
Naomi X. Martin, Paul A. Olsen, … Jack Waters·bioRxiv·Dec 4, 2024