Bioconductor release scheduled for October 29

stPipe

This is the development version of stPipe; to use it, please install the devel version of Bioconductor.

Upstream pre-processing for Sequencing-Based Spatial Transcriptomics


Bioconductor version: Development (3.22)

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.

Author: Yang Xu [aut, cre] ORCID iD ORCID: 0009-0008-3274-6516 , Callum Sargeant [aut], Shian Su [aut], Luyi Tian [aut], Yunshun Chen [ctb], Matthew Ritchie [ctb, fnd]

Maintainer: Yang Xu <xu.ya at wehi.edu.au>

Citation (from within R, enter citation("stPipe")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("stPipe")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("stPipe")
stPipe: A flexible and streamlined pipeline for processing sequencing-based spatial transcriptomics data HTML R Script
Reference Manual PDF

Details

biocViews Clustering, DataImport, GeneExpression, GenomeAnnotation, ImmunoOncology, Preprocessing, QualityControl, RNASeq, SequenceMatching, Sequencing, SingleCell, Software, Spatial, Transcriptomics, Visualization
Version 0.99.994
In Bioconductor since BioC 3.22 (R-4.5)
License GPL-3
Depends R (>= 4.5.0)
Imports basilisk, data.table, DropletUtils, dplyr, ggplot2, methods, pbmcapply, reticulate, rmarkdown, Rcpp, Rhtslib, Rsubread, Rtsne, Seurat, SeuratObject, scPipe, shiny, SummarizedExperiment, SingleCellExperiment, SpatialExperiment, stats, umap, yaml
System Requirements GNU make
URL https://github.com/mritchielab/stPipe
Bug Reports https://github.com/mritchielab/stPipe/issues/new
See More
Suggests knitr, plotly, BiocStyle, testthat (>= 3.0.0)
Linking To Rcpp, Rhdf5lib, testthat, Rhtslib
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package stPipe_0.99.994.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/stPipe
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/stPipe
Bioc Package Browser https://code.bioconductor.org/browse/stPipe/
Package Short Url https://bioconductor.org/packages/stPipe/
Package Downloads Report Download Stats