This is thedevelopmentversion of SCOPE; for the stable release version, seeSCOPE.
Bioconductor version: Development (3.17)
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.
Author: Rujin Wang, Danyu Lin, Yuchao Jiang
Maintainer: Rujin Wang
Citation (from within R, entercitation("SCOPE")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("SCOPE")
For older versions of R, please refer to the appropriateBioconductor release.
查看文档的版本包age installed in your system, start R and enter:
browseVignettes("SCOPE")
HTML | R Script | SCOPE: Single-cell Copy Number Estimation |
Reference Manual | ||
Text | NEWS |
biocViews | Alignment,CopyNumberVariation,Coverage,DNASeq,DataImport,Normalization,QualityControl,Sequencing,SingleCell,Software,WholeGenome |
Version | 1.11.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (2.5 years) |
License | GPL-2 |
Depends | R (>= 3.6.0),GenomicRanges,IRanges,Rsamtools,GenomeInfoDb,BSgenome.Hsapiens.UCSC.hg19 |
Imports | stats, grDevices, graphics, utils,DescTools,RColorBrewer,gplots,foreach, parallel,doParallel,DNAcopy,BSgenome,Biostrings,BiocGenerics,S4Vectors |
LinkingTo | |
Suggests | knitr,rmarkdown,WGSmapp,BSgenome.Hsapiens.UCSC.hg38,BSgenome.Mmusculus.UCSC.mm10,testthat(>= 2.1.0) |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Followbob 体育网址 instructions to use this package in your R session.
Source Package | SCOPE_1.11.0.tar.gz |
Windows Binary | SCOPE_1.11.0.zip |
macOS Binary (x86_64) | SCOPE_1.11.0.tgz |
macOS Binary (arm64) | SCOPE_1.11.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SCOPE |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SCOPE |
Bioc Package Browser | https://code.bioconductor.org/browse/SCOPE/ |
Package Short Url | //www.anjoumacpherson.com/packages/SCOPE/ |
Package Downloads Report | Download Stats |
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