Open ST 技能 索引
- 作者仓库星标 428
- 作者仓库 PantheonOS
OpenST Skills
Open-ST is an open-source spatial transcriptomics method that captures transcriptome-wide expression at sub-cellular resolution using sequencing-based spatial barcoding on Illumina flow cells.
Available Skills
Computational Analysis Pipeline
Complete end-to-end computational workflow for processing Open-ST data, covering all 6 stages from raw data to analysis-ready objects.
Skill file: openst_computational.md
When to use:
- Processing raw Open-ST BCL/FASTQ files
- Running spacemake for transcriptomic alignment
- Aligning spatial coordinates to tissue images
- Segmenting cells and assigning transcripts
- Reconstructing 3D spatial data from serial sections
- Performing downstream exploratory analysis on Open-ST data
Using Skills
- Read the computational pipeline skill for the full step-by-step workflow
- Follow stages sequentially: Each stage depends on the previous one
- Check system requirements: 128 GB RAM recommended, GPU for segmentation/alignment
- 流狐分类
- 工程开发
- 作者声明 Agent
- 未找到明确声明；不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描，不代表运行安全
- 作者 / 版本 / 许可
- @aristoteleo · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 即装即用
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无（仅作为资料）
档案由构建时根据 SKILL.md 与安装命令自动衍生，可能与作者实际意图存在差异。
需要注意： 未限定 allowed-tools，默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。Available Skills
Complete end-to-end computational workflow for processing Open-ST data, covering all 6 stages from raw data to analysis-ready objects. Skill file: openstcomputational.md
Read the computational pipeline skill for the full step-by-step workflow Follow stages sequentially: Each stage depends on the previous one Check system requirements: 128 GB RAM recommended, GPU for segmentation/alignment
# OpenST Skills
[Open-ST](https://rajewsky-lab.github.io/openst/) is an open-source spatial
transcriptomics method that captures transcriptome-wide expression at
sub-cellular resolution using sequencing-based spatial barcoding on
Illumina flow cells.
## Available Skills
### Computational Analysis Pipeline
Complete end-to-end computational workflow for processing Open-ST data,
covering all 6 stages from raw data to analysis-ready objects.
**Skill file**: [openst_computational.md](./openst_computational.md)
**When to use**:
- Processing raw Open-ST BCL/FASTQ files
- Running spacemake for transcriptomic alignment
- Aligning spatial coordinates to tissue images
- Segmenting cells and assigning transcripts
- Reconstructing 3D spatial data from serial sections
- Performing downstream exploratory analysis on Open-ST data
---
## Using Skills
1. **Read the computational pipeline skill** for the full step-by-step workflow
2. **Follow stages sequentially**: Each stage depends on the previous one
3. **Check system requirements**: 128 GB RAM recommended, GPU for segmentation/alignment作者原文负责流程事实；流狐只索引当前章节、要点、文件与命令。
章节 -> Available Skills → Computational Analysis Pipeline → Using Skills
要点 -> Skill file · When to use · Read the computational pipeline skill · Follow stages sequentially · Check system requirements
文件/命令 -> rajewsky-lab.github.io/openst · openstcomputational.md · ./openstcomputational.md · BCL/FASTQ · segmentation/alignment
内容 SHA-256 -> 793c52a7c67e
原文结构
适用与边界
原文中的明确线索
rajewsky-lab.github.io/openst、openstcomputational.md、./openstcomputational.md、BCL/FASTQ、segmentation/alignment