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stPipe

Bioc current

Upstream pre-processing for Sequencing-Based Spatial Transcriptomics

v1.2.0 · software · GPL-3

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

This package serves as an upstream pipeline for pre-processing sequencing-based spatial transcriptomics data. Functions includes FASTQ trimming, BAM file reformatting, index building, spatial barcode detection, demultiplexing, gene count matrix generation with UMI deduplication, QC, and revelant visualization. Config is an essential input for most of the functions which aims to improve reproducibility.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

27 8 exported

Complexity

4.6 avg / 20 max

Call network

27 nodes / 4 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

3,004

Files

61

Compiled share

10.4%

Has compiled src

Yes

Language breakdown

R 1,694 (56.4%)C/C++/src 313 (10.4%)Tests 283 (9.4%)Docs 496 (16.5%)Vignettes 218 (7.3%)

API

Exported functions

8

Internal functions

9

Recent export changes

v3.22+8 Run_Clustering, Run_Create_Obj, Run_HTML +5 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.17

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

6

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5.0

System requirements

1

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2025-11-20

Latest release

2026-04-28

Avg cadence

159 days

Cold removal rate

Dep drift

0

LOC over versions

v3.22: 3,004 LOCv3.23: 3,004 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 89 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stPipe")
Xu, Y., Chen, Y., Ritchie, M., Sargeant, C., Su, S., & Tian, L. (2026). stPipe: Upstream pre-processing for Sequencing-Based Spatial Transcriptomics (Version 1.2.0) [Computer software]. https://bioconductor.org/packages/stPipe

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for stPipe version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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