- recipe bioconductor-scope
A normalization and copy number estimation method for single-cell DNA sequencing
- Homepage:
- License:
GPL-2
- Recipe:
Whole genome single-cell DNA sequencing (scDNA-seq) enables characterization of copy number profiles at the cellular level. This circumvents the averaging effects associated with bulk-tissue sequencing and has increased resolution yet decreased ambiguity in deconvolving cancer subclones and elucidating cancer evolutionary history. ScDNA-seq data is, however, sparse, noisy, and highly variable even within a homogeneous cell population, due to the biases and artifacts that are introduced during the library preparation and sequencing procedure. Here, we propose SCOPE, a normalization and copy number estimation method for scDNA-seq data. The distinguishing features of SCOPE include: (i) utilization of cell-specific Gini coefficients for quality controls and for identification of normal/diploid cells, which are further used as negative control samples in a Poisson latent factor model for normalization; (ii) modeling of GC content bias using an expectation-maximization algorithm embedded in the Poisson generalized linear models, which accounts for the different copy number states along the genome; (iii) a cross-sample iterative segmentation procedure to identify breakpoints that are shared across cells from the same genetic background.
- package bioconductor-scope¶
-
- Versions:
1.10.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.2.0-0
,1.0.0-0
- Depends:
bioconductor-biocgenerics
>=0.44.0,<0.45.0
bioconductor-biostrings
>=2.66.0,<2.67.0
bioconductor-bsgenome
>=1.66.0,<1.67.0
bioconductor-bsgenome.hsapiens.ucsc.hg19
>=1.4.0,<1.5.0
bioconductor-dnacopy
>=1.72.0,<1.73.0
bioconductor-genomeinfodb
>=1.34.0,<1.35.0
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-iranges
>=2.32.0,<2.33.0
bioconductor-rsamtools
>=2.14.0,<2.15.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-scope
and update with:
conda update bioconductor-scope
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-scope:<tag>
(see bioconductor-scope/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-scope/README.html)