To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("hapFabia")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see hapFabia.
Bioconductor version: 3.4
A package to identify very short IBD segments in large sequencing data by FABIA biclustering. Two haplotypes are identical by descent (IBD) if they share a segment that both inherited from a common ancestor. Current IBD methods reliably detect long IBD segments because many minor alleles in the segment are concordant between the two haplotypes. However, many cohort studies contain unrelated individuals which share only short IBD segments. This package provides software to identify short IBD segments in sequencing data. Knowledge of short IBD segments are relevant for phasing of genotyping data, association studies, and for population genetics, where they shed light on the evolutionary history of humans. The package supports VCF formats, is based on sparse matrix operations, and provides visualization of haplotype clusters in different formats.
Author: Sepp Hochreiter <hochreit at bioinf.jku.at>
Maintainer: Sepp Hochreiter <hochreit at bioinf.jku.at>
Citation (from within R,
enter citation("hapFabia")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("hapFabia")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("hapFabia")
R Script | hapFabia: Manual for the R package | |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, GeneticVariability, Genetics, SNP, SequenceMatching, Sequencing, Software, Visualization |
Version | 1.16.1 |
In Bioconductor since | BioC 2.11 (R-2.15) (4.5 years) |
License | LGPL (>= 2.1) |
Depends | R (>= 2.12.0), Biobase, fabia(>= 2.3.1) |
Imports | methods, graphics, grDevices, stats, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.bioinf.jku.at/software/hapFabia/hapFabia.html |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | hapFabia_1.16.1.tar.gz |
Windows Binary | hapFabia_1.16.1.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | hapFabia_1.16.1.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/hapFabia/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/hapFabia/ |
Package Downloads Report | Download Stats |
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