Package 'pbmc3k'

Title: Raw and Processed Matrices of the PBMC 3k Dataset
Description: What the package does (one paragraph).
Authors: Paul Hoffman [aut, cre] , 10x Genomics, Inc. [cph]
Maintainer: Paul Hoffman <[email protected]>
License: CC BY 4.0
Version: 0.1.0
Built: 2024-11-15 03:20:52 UTC
Source: https://github.com/mojaveazure/pbmc3k

Help Index


PBMC 3k

Description

2,700 peripheral blood mononuclear cells (PBMC) from 10X genomics; this is effectively what one would get with Seurat::Read10X()

Usage

pbmc3k

Format

A dgCMatrix with the raw, unfiltered PBMC 3k counts

Source

https://support.10xgenomics.com/single-cell-gene-expression/datasets/1.1.0/pbmc3k


Log-Normalized PBMC 3k: SingleCellExperiment Edition

Description

Log-Normalized PBMC 3k: SingleCellExperiment Edition

Usage

pbmc3k.sce.logcounts

Format

A dgCMatrix with the log-normalized PBMC 3k counts

Note

There is not a raw, filtered matrix following a Bioconductor workflow as scuttle does not filter the raw counts matrix in the same way that SeuratObject::CreateSeuratObject() does

Source

https://support.10xgenomics.com/single-cell-gene-expression/datasets/1.1.0/pbmc3k

References

Orchestrating Single-Cell Analysis with Bioconductor version 1.8.0

See Also

scuttle::perCellQCMetrics(), scuttle::quickPerCellQC(), scuttle::perCellQCFilters(), scuttle::isOutlier()

Log-normalized matrices: pbmc3k.seurat.norm


Raw PBMC 3k Counts: Seurat Edition

Description

Raw PBMC 3k Counts: Seurat Edition

Usage

pbmc3k.seurat.counts

Format

A dgCMatrix with the raw, filtered PBMC 3k counts

Source

https://support.10xgenomics.com/single-cell-gene-expression/datasets/1.1.0/pbmc3k

References

Seurat PBMC 3k Guided Clustering Tutorial

See Also

SeuratObject::CreateSeuratObject(), SeuratObject::CreateAssayObject()

Seurat-processed matrices: pbmc3k.seurat.norm


Log-Normalized PBMC 3k: Seurat Edition

Description

Log-Normalized PBMC 3k: Seurat Edition

Usage

pbmc3k.seurat.norm

Format

A dgCMatrix with the log-normalized PBMC 3k counts

Source

https://support.10xgenomics.com/single-cell-gene-expression/datasets/1.1.0/pbmc3k

References

Seurat PBMC 3k Guided Clustering Tutorial

See Also

Seurat::NormalizeData()

Seurat-processed matrices: pbmc3k.seurat.counts

Log-normalized matrices: pbmc3k.sce.logcounts