A suite of tools for single cell copy number analysis focusing on reads binning, segmentation, normalization, filtering, analysis, and visualization. CopyKit extends Bioconductors’ SingleCellExperiment class for the analysis of copy number datasets. We divide CopyKit functions into four modules: 1) Pre-processing, 2) Quality Control, 3) Data Analysis, and 4) Visualization. CopyKit can be applied to a broad applications for studying diverse areas of cancer biology, including intratumor heterogeneity, premalignant progression, and metastasis.
Package details |
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Bioconductor views | CellBiology Clustering DNASeq DataImport ImmunoOncology Normalization QualityControl Sequencing SingleCell Software Visualization |
Maintainer | |
License | AGPL (>= 3) + file LICENSE |
Version | 0.1.3 |
URL | https://github.com/navinlabcode/copykit |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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