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Position-Dependent Kernel Association Test

Bioconductor version: Release (3.5)

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>

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PDF R Script PODKAT - An R Package for Association Testing Involving Rare and Private Variants
PDF   Reference Manual
Text   NEWS


biocViews Annotation, DataImport, Genetics, Sequencing, Software, VariantAnnotation, WholeGenome
Version 1.8.0
In Bioconductor since BioC 3.1 (R-3.2) (2 years)
License GPL (>= 2)
Depends R (>= 3.2.0), methods, Rsamtools, GenomicRanges
Imports Rcpp (>= 0.11.1), parallel, stats, graphics, grDevices, utils, 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, SummarizedExperiment, knitr
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