seqCNA
This is the development version of seqCNA; for the stable release version, see seqCNA.
Copy number analysis of high-throughput sequencing cancer data
Bioconductor version: Development (3.18)
Copy number analysis of high-throughput sequencing cancer data with fast summarization, extensive filtering and improved normalization
Author: David Mosen-Ansorena
Maintainer: David Mosen-Ansorena <dmosen.gn at cicbiogune.es>
citation("seqCNA")
):
Installation
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("seqCNA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("seqCNA")
seqCNA.pdf | R Script | |
Reference Manual |
Details
biocViews | CopyNumberVariation, Genetics, Sequencing, Software |
Version | 1.47.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (10 years) |
License | GPL-3 |
Depends | R (>= 3.0), GLAD(>= 2.14), doSNOW (>= 1.0.5), adehabitatLT (>= 0.3.4), seqCNA.annot(>= 0.99), methods |
Imports | |
Linking To | |
Suggests | |
System Requirements | samtools |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | Herper |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | seqCNA_1.47.0.tar.gz |
Windows Binary | seqCNA_1.47.0.zip |
macOS Binary (x86_64) | |
macOS Binary (arm64) | seqCNA_1.47.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/seqCNA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/seqCNA |
Bioc Package Browser | https://code.bioconductor.org/browse/seqCNA/ |
Package Short Url | https://bioconductor.org/packages/seqCNA/ |
Package Downloads Report | Download Stats |