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STexampleData

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The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.

The STexampleData package is available from Bioconductor.

A vignette containing examples and documentation is also available from Bioconductor.

Installation

The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.

install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:

install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation

  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.

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Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format

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GitHub - estellad/STexampleData: Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format · GitHub
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STexampleData
R build status
The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.
The STexampleData package is available from Bioconductor.
A vignette containing examples and documentation is also available from Bioconductor.
Installation
The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.
install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:
install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation
  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.
About
Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format
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, 'i');
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GitHub - estellad/STexampleData: Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format · GitHub
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STexampleData
R build status
The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.
The STexampleData package is available from Bioconductor.
A vignette containing examples and documentation is also available from Bioconductor.
Installation
The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.
install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:
install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation
  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.
About
Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format
Resources
Readme
License
Activity
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0 watching
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GitHub - estellad/STexampleData: Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format · GitHub
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STexampleData
R build status
The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.
The STexampleData package is available from Bioconductor.
A vignette containing examples and documentation is also available from Bioconductor.
Installation
The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.
install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:
install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation
  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.
About
Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format
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Readme
License
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, 'i');
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var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - estellad/STexampleData: Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format · GitHub
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STexampleData
R build status
The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.
The STexampleData package is available from Bioconductor.
A vignette containing examples and documentation is also available from Bioconductor.
Installation
The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.
install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:
install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation
  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.
About
Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format
Resources
Readme
License
Activity
Stars
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0 watching
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0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - estellad/STexampleData: Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format · GitHub
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STexampleData
R build status
The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.
The STexampleData package is available from Bioconductor.
A vignette containing examples and documentation is also available from Bioconductor.
Installation
The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.
install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:
install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation
  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.
About
Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format
Resources
Readme
License
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0 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - estellad/STexampleData: Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format · GitHub
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STexampleData
R build status
The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.
The STexampleData package is available from Bioconductor.
A vignette containing examples and documentation is also available from Bioconductor.
Installation
The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.
install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:
install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation
  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.
About
Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format
Resources
Readme
License
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, 'i');
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GitHub - estellad/STexampleData: Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format · GitHub
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STexampleData
R build status
The STexampleData package contains a collection of spatial transcriptomics datasets, which have been formatted into the SpatialExperiment Bioconductor class, for use in examples, demonstrations, and tutorials. The datasets are from several different technological platforms and have been sourced from various publicly available sources. Several datasets include images and/or reference annotation labels.
The STexampleData package is available from Bioconductor.
A vignette containing examples and documentation is also available from Bioconductor.
Installation
The current release version of the STexampleData package can be installed from Bioconductor as follows. This is the recommended installation for most users.
install.packages("BiocManager")
BiocManager::install("STexampleData")

For advanced users who require any latest updates, the development version can also be installed from the devel version of Bioconductor (see the Bioconductor website for details on how to use the devel version), or from GitHub:
install.packages("remotes")
remotes::install_github("lmweber/STexampleData")

Citation
  • Righell D.*, Weber L.M.*, Crowell H.L.*, Pardo B., Collado-Torres L., Ghazanfar S., Lun A.T.L., Hicks S.C.*, and Risso D.* (2022). SpatialExperiment: infrastructure for spatially resolved transcriptomics data in R using Bioconductor.Bioinformatics, btac299.
About
Collection of spatially resolved transcriptomics datasets in SpatialExperiment R/Bioconductor format
Resources
Readme
License
Activity
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