recipe bioconductor-sccb2

CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/scCB2.html

License:

GPL-3

Recipe:

/bioconductor-sccb2/meta.yaml

scCB2 is an R package implementing CB2 for distinguishing real cells from empty droplets in droplet-based single cell RNA-seq experiments (especially for 10x Chromium). It is based on clustering similar barcodes and calculating Monte-Carlo p-value for each cluster to test against background distribution. This cluster-level test outperforms single-barcode-level tests in dealing with low count barcodes and homogeneous sequencing library, while keeping FDR well controlled.

package bioconductor-sccb2

(downloads) docker_bioconductor-sccb2

Versions:

1.8.0-01.4.0-01.2.0-01.0.0-11.0.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-sccb2

and update with:

conda update bioconductor-sccb2

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-sccb2:<tag>

(see bioconductor-sccb2/tags for valid values for <tag>)

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