STutility-package: STutility: Analysis and visualization of Spatial...

STutility-packageR Documentation

STutility: Analysis and visualization of Spatial Transcriptomics data

Description

STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.

STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.

STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.

STutility collects useful tools for Spatial Transcriptomics data analysis within R. The package is built on top of popular Seurat R package, which is a toolkit for analysis and exploration of single cell RNA sequencing data (scRNAseq). STutility adds image functionallity to the Seurat workflow, allowing RNAseq data to be put in a spatial tissue context. Tutorials for data transformation, QC, analysis and visualization can be found on our website: https://ludvigla.github.io/STUtility_web_site/.

Author(s)

Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se

Authors:

  • Joseph Bergenstraahle

Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se

Authors:

  • Joseph Bergenstraahle

Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se

Authors:

  • Joseph Bergenstraahle

Maintainer: Ludvig Larsson ludvig.larsson@scilifelab.se

Authors:

  • Joseph Bergenstraahle


jbergenstrahle/STUtility documentation built on March 14, 2023, 7:15 a.m.