Open-source bioinformatics for reproducible sequencing-data analysis
面向测序数据分析与可重复研究的开源生物信息学工具
Biobunensi develops practical research software that turns complex sequencing data into transparent, reproducible, and shareable results.
Biobunensi 致力于开发实用的科研软件，将复杂的测序数据转化为透明、可重复、 便于共享的分析结果。
- Bioinformatics workflows · 生物信息学分析流程
- Sequencing-data analysis · 测序数据分析
- Reproducible reports · 可重复的分析报告
- Research software engineering · 科研软件工程
- Clear data export and sharing · 清晰的数据导出与结果共享
| Project | Description | Technology |
|---|---|---|
| scRDSreport | Generate reproducible, downloadable single-cell reports from RDS files. 从单细胞 RDS 文件生成可重复、可下载的分析报告。 | R · Seurat · SCP · Quarto |
| fqcanvas | Reference-free, byte-exact FASTQ compression using a coordinate-canvas model. 基于 coordinate-canvas 模型的无参考、字节级精确 FASTQ 压缩。 | C++ · FASTQ |
- One-function workflow:
running(input, output) - Preserve and export existing RDS analyses and annotations
- Complete minimally processed single-cell objects with SCP when needed
- Export expression matrices, metadata, annotations, embeddings, and result tables
- Produce a standalone Quarto HTML report with interactive tables and downloads
We aim to keep our research software:
- Reproducible · 分析可重复
- Transparent · 过程透明
- Documented · 文档清晰
- Practical · 注重实际使用
- Interoperable · 兼顾格式与工具兼容性
- Easy to share · 结果便于共享
Each repository provides its own installation guide, examples, dependency information, and release notes. Please read the project README before use.
每个仓库均提供安装说明、示例、依赖信息和版本记录。使用前请阅读对应项目的 README。
Bug reports, feature requests, documentation improvements, tests, and compatibility contributions are welcome. Please open an Issue or Pull Request in the relevant repository.
欢迎通过对应仓库的 Issue 或 Pull Request 提交问题、功能建议、文档改进、测试与 兼容性贡献。
Clearer analysis. More reproducible results.
让分析过程更清晰，让研究结果更易复现。
