Xenium Spatial Analysis Pipeline Specification
Pipeline Details
- Name:
Xenium Spatial Analysis Pipeline - Pipeline UUID:
73d46e9d615d46e893b7a1a2421e8ae1 - Version:
1.0.3 - View Pipeline:
Overview
Xenium Spatial Analysis Pipeline is designed for comprehensive spatial transcriptomics analysis of 10x Genomics Xenium data. It automates data preprocessing, quality control, and downstream spatial analysis to provide high-resolution, subcellular RNA imaging insights across tissue sections with quantitative spatial gene expression mapping.
Key Use cases:
- Spatial Transcriptomics Analysis: Processing Xenium output data for high-resolution spatial gene expression mapping at subcellular resolution.
- Tissue Microenvironment Mapping: Analyzing cellular organization and tissue architecture through spatial gene expression patterns.
- Quality Control and Visualization: Generating comprehensive QC reports and interactive visualizations for spatial genomics data interpretation.
Features
- Xenium Data Processing: Native support for 10x Genomics Xenium output formats including .zip archives with comprehensive file structure handling.
- Flexible Segmentation Options: Supports cell, nucleus, or no boundary segmentation for spatial visualization and analysis.
- Automated Quality Control: Implements configurable threshold-based filtering with quantile-based cutoffs for transcript molecules and genes per cell.
- Comprehensive Reporting: Generates detailed HTML reports with QC metrics, clustering analysis, and spatial visualizations using R/Seurat integration.
- Scalable Processing: Containerized workflow using specialized Docker images (ubuntu-seurat:5.3.0) for reproducible spatial transcriptomics analysis.
- Multi-format Output: Produces both RDS objects for downstream analysis and interactive HTML reports for immediate visualization.
Input/Output Specification
Inputs
Required
Xenium Output Directory
- Description: Xenium output data containing spatial transcriptomics results, typically provided as a .zip archive or directory structure from 10x Genomics Xenium instrument.
- Format: .zip archive or directory containing standard Xenium output files (cell_feature_matrix, transcripts, morphology images, etc.)
- Example File Path: /path/to/xenium_output.zip
Sample Sheet
- Description: Sample metadata file containing sample information and processing parameters for the spatial analysis workflow.
- Format: Tab-separated values (.tsv)
- Example File Path: /path/to/samplesheet.tsv
Optional Inputs
Cell Statistics File
- Description: Additional cell-level statistics file for enhanced quality control and filtering.
- Format: Various formats supported
- Example File Path: /path/to/cellstats.tsv
Metadata Sheet
- Description: Extended metadata file containing sample annotations and experimental conditions.
- Format: Tab-separated values (.tsv)
- Example File Path: /path/to/metadata.tsv
Outputs
Reported Outputs
- Analysis Report HTML:
- Description: Comprehensive interactive HTML report containing QC metrics, spatial visualizations, clustering results, and analysis summary
- Format: .html
- Example File Path: /output/sample_name.analysis_report.html
- Visualization App: Web browser
-
Location: Output directory
-
Analysis RDS File:
- Description: Processed spatial data object in R format containing filtered expression matrix, spatial coordinates, and metadata
- Format: .rds
- Example File Path: /output/sample_name.analysis.rds
- Visualization App: R/RStudio, Seurat
- Location: Output directory
Supporting Outputs
- Processed Dataset Directory:
- Description: Structured directory containing extracted and organized Xenium data files ready for analysis
- Format: Directory structure with multiple file types (.csv, .parquet, .tif, .json)
- Example File Path: /intermediate/sample_name_out/
- Location: Intermediate processing directory
Associated Processes
References & Additional Documentation
- Related Papers/links: 10x Genomics Xenium Platform Documentation
- Workflow Diagram: High-resolution spatial transcriptomics processing with tissue preparation, probe hybridization, RCA amplification, imaging, and computational analysis