OpenST Skills Index

Map Open-ST data processing into an end-to-end pipeline from BCL/FASTQ to h5ad objects.

478|62|Updated Jul 30, 2025
One-click install
npx skills add https://github.com/aristoteleo/PantheonOS --skill openst-skills-index
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: OpenST Skills Index
Source: https://github.com/aristoteleo/PantheonOS/tree/main/pantheon/factory/templates/skills/omics/upstream_processing/openst
Command: npx skills add https://github.com/aristoteleo/PantheonOS --skill openst-skills-index

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

End-to-end Open-ST data processing pipeline for transforming raw BCL/FASTQ data into spatially resolved single-cell expression objects (h5ad).

Core Features & Use Cases

  • End-to-end pipeline for processing Open-ST data through all 6 stages, from raw data to analysis-ready objects.
  • Provides a complete computational analysis workflow with pipeline steps for barcode preprocessing, transcriptomic alignment, coordinate registration, segmentation, and downstream analysis.
  • Use Case: Researchers can convert raw Open-ST sequencing output into an analyzable h5ad object with spatial coordinates for downstream analysis.

Quick Start

Follow the Computational Analysis Pipeline to process your first Open-ST dataset from raw BCL files to an h5ad object.

Frequently Asked Questions about OpenST Skills Index

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I process raw Open-ST spatial transcriptomics data into an h5ad object?

The Open-ST pipeline processes raw BCL and FASTQ data through an end-to-end workflow to generate spatially resolved h5ad objects. It executes barcode preprocessing, transcriptomic alignment, coordinate registration, segmentation, and reconstruction to deliver analysis-ready spatial data.

What are the computational stages for Open-ST spatial data reconstruction?

The Open-ST computational pipeline consists of six stages: barcode preprocessing, transcriptomic alignment, coordinate registration, segmentation, reconstruction, and downstream analysis. These stages transform raw sequencing outputs into spatially resolved single-cell expression objects.

Does the Open-ST pipeline require specific technical configurations for reproducible workflows?

Yes, the Open-ST pipeline specifies technical requirements, dependencies, and configurations to support reproducible spatial transcriptomics workflows. These specifications ensure consistent transformation of raw BCL or FASTQ data into spatially resolved h5ad objects across different experiments.

Can I use this pipeline to convert BCL files directly to spatially resolved h5ad objects?

Yes, you can convert raw BCL files directly to spatially resolved h5ad objects using this end-to-end pipeline. The workflow applies barcode preprocessing and transcriptomic alignment to the raw BCL input, ultimately producing an analyzable single-cell expression object with spatial coordinates.

What's the best way to handle coordinate registration and segmentation in Open-ST experiments?

The best way to handle coordinate registration and segmentation in Open-ST experiments is to follow the unified end-to-end computational analysis pipeline. It systematically maps these processing steps within the broader workflow to ensure accurate spatial reconstruction and downstream analysis.