Name Mode Size
R 040000
inst 040000
man 040000
src 040000
tests 040000
vignettes 040000
DESCRIPTION 100644 1 kb
NAMESPACE 100644 2 kb
NEWS 100644 100644 2 kb
AneuFinder ========== Copy-number detection in whole-genome single cell sequencing (WGSCS) and Strand-seq data using a Hidden Markov Model. The package implements copy-number detection, commonly used plotting functions, export to BED format for upload to genome browsers, and measures for assessment of karyotype heterogeneity and quality metrics. Installation ------------ ### Stable release version from Bioconductor To install the *current stable* version from Bioconductor, please visit and follow the provided instructions. ### Development version from Github To install the *development* version from Github, follow the steps given below. The installation has only been tested on Ubuntu so far, if you need to install on Windows or Mac additional steps might be necessary (e.g. installation of Rtools from 1. Install a recent version of R (3.2.3) from 2. Optional: For ease of use, install Rstudio from 3. Open R and install all dependencies. Please ensure that you have writing permissions to install packages. Execute the following lines one by one: install.packages("devtools") source("") biocLite("GenomicRanges") biocLite("GenomicAlignments") library(devtools) install_github("ataudt/aneufinderData") install_github("ataudt/aneufinder") # Or alternatively if the above line doesn't work: install_git("git://", branch = "master") install_git("git://", branch = "master")