To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("podkat")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
This package provides an association test that is capable of dealing with very rare and even private variants. This is accomplished by a kernel-based approach that takes the positions of the variants into account. The test can be used for pre-processed matrix data, but also directly for variant data stored in VCF files. Association testing can be performed whole-genome, whole-exome, or restricted to pre-defined regions of interest. The test is complemented by tools for analyzing and visualizing the results.
Author: Ulrich Bodenhofer
Maintainer: Ulrich Bodenhofer <bodenhofer at bioinf.jku.at>
Citation (from within R,
enter citation("podkat")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("podkat")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("podkat")
PODKAT - An R Package for Association Testing Involving Rare and Private Variants | ||
Reference Manual | ||
Text | NEWS |
biocViews | Annotation, DataImport, Genetics, Sequencing, Software, VariantAnnotation, WholeGenome |
Version | 1.2.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (1 year) |
License | GPL (>= 2) |
Depends | R (>= 3.2.0), methods, Rsamtools, GenomicRanges |
Imports | Rcpp (>= 0.11.1), parallel, stats, graphics, Biobase, BiocGenerics, Matrix, GenomeInfoDb, IRanges, Biostrings, BSgenome(>= 1.32.0) |
LinkingTo | Rcpp, Rsamtools |
Suggests | BSgenome.Hsapiens.UCSC.hg38.masked, TxDb.Hsapiens.UCSC.hg38.knownGene, BSgenome.Mmusculus.UCSC.mm10.masked, GWASTools(>= 1.13.24), VariantAnnotation, knitr |
SystemRequirements | |
Enhances | |
URL | http://www.bioinf.jku.at/software/podkat/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | podkat_1.2.0.tar.gz |
Windows Binary | podkat_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | podkat_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | podkat_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/podkat/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/podkat/ |
Package Downloads Report | Download Stats |
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