GxP Single-cell RNA-seq and Spatial Transcriptomics end-to-end pipeline for clinical research
Amaya ZaratieguiiD, Timothy Burfield, Helle Rus PovlseniD, Martín E. García SoláiD, Adrian Czaban, Keng SohiD, Vivek DasiD
Abstract
Single-cell/nucleus RNA-sequencing and Spatial Transcriptomics are powerful tools for investigating cellular heterogeneity and tissue architecture that have deepened our disease understanding. Their broader adoption in clinical and regulated settings, however, is hindered by challenges related to data integrity, regulatory compliance, reproducibility, and scalability. To address this gap, we developed NNclinSSOAP (Novo Nordisk Clinical Single-cell Spatial Omics Analytical Pipeline) - a modular, GxP-ready end-to-end computational pipeline, that combines established single-cell workflows with a new Nextflow pipeline for Spatial Transcriptomics. NNclinSSOAP transforms RNA sequencing and Xenium spatial data into integrated, annotated single-cell objects and spatially resolved tissue maps. Designed to support mechanistic studies and clinical endpoint generation, it enables traceable and reproducible processing of large-scale datasets, scalable for both local and HPC environments. Here, we provide a step-by-step guide for using NNclinSSOAP. All code and data are publicly available. Using a standard laptop, the pipeline can be executed within 1.5 hours.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- FWCI
- 2.08
- Field percentile
- top 12%
- 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
- EISCA and EISTA: Full-Spectrum Pipelines for Single-Cell and Spatial Transcriptomics Analysis
Huihai Wu, Ashleigh Lister, … Irene Papatheodorou·bioRxiv·Sep 25, 2026
- Spacemake: processing and analysis of large-scale spatial transcriptomics data
Tamas Ryszard Sztanka-Toth, Marvin Jens, … Nikolaus Rajewsky·GigaSciencePeer-reviewed·Jan 1, 2022
- nf_xpatial: A Reproducible Framework for Standardized Preprocessing and Clustering of Xenium Data
Luke Potter, Austyn Trull, … Lara Ianov·bioRxiv·Aug 29, 2026
- SPArrOW: a flexible, interactive and scalable pipeline for spatial transcriptomics analysis
Lotte Pollaris, Bavo Vanneste, … Yvan Saeys·bioRxiv·Jul 4, 2024
- Fast analysis of Spatial Transcriptomics (FaST): an ultra lightweight and fast pipeline for the analysis of high resolution spatial transcriptomics.
Valerio Fulci·NAR Genomics and BioinformaticsPeer-reviewed·Mar 29, 2025
- Sopa: a technology-invariant pipeline for analyses of image-based spatial-omics
Quentin Blampey, Kevin Mulder, … Paul-Henry Cournède·Nature CommunicationsPeer-reviewed·Jun 11, 2024