stPipe
This is the released version of stPipe; for the devel version, see stPipe.
Upstream pre-processing for Sequencing-Based Spatial Transcriptomics
Bioconductor version: Release (3.23)
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] 
, 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("stPipe")):Yang Xu, Callum Sargeant, Shian Su, Luyi Tian. stPipe: Upstream pre-processing for Sequencing-Based Spatial Transcriptomics. doi:10.18129/B9.bioc.stPipe, R package version 1.2.0, https://bioconductor.org/packages/stPipe.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | ||
| NEWS | Text |
Details
| biocViews | Clustering, DataImport, GeneExpression, GenomeAnnotation, ImmunoOncology, Preprocessing, QualityControl, RNASeq, SequenceMatching, Sequencing, SingleCell, Software, Spatial, Transcriptomics, Visualization |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.22 (R-4.5) (1 year) |
| 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, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | stPipe_1.2.0.tar.gz |
| Windows Binary (x86_64) | stPipe_1.2.0.zip |
| macOS Binary (big-sur-x86_64) | stPipe_1.2.0.tgz |
| macOS Binary (sonoma-arm64) | stPipe_1.2.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/stPipe |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/stPipe |
| Package Short Url | https://bioconductor.org/packages/stPipe/ |
| Package Downloads Report | Download Stats |