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UPDhmm

This is the released version of UPDhmm; for the devel version, see UPDhmm.

Detecting Uniparental Disomy through NGS trio data


Bioconductor version: Release (3.23)

Uniparental disomy (UPD) is a genetic condition where an individual inherits both copies of a chromosome or part of it from one parent, rather than one copy from each parent. This package contains a HMM for detecting UPDs through HTS (High Throughput Sequencing) data from trio assays. By analyzing the genotypes in the trio, the model infers a hidden state (normal, father isodisomy, mother isodisomy, father heterodisomy and mother heterodisomy).

Author: Marta Sevilla [aut, cre] ORCID iD ORCID: 0009-0005-0179-920X , Carlos Ruiz-Arenas [aut] ORCID iD ORCID: 0000-0002-6014-3498

Maintainer: Marta Sevilla <marta.sevilla at upf.edu>

Citation (from within R, enter citation("UPDhmm")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("UPDhmm")

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("UPDhmm")
Long reads VCF Preprocessing User Guide HTML R Script
UPDhmm User Guide: From Detection to Postprocessing HTML R Script
VCF Preprocessing User Guide HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Genetics, HiddenMarkovModel, Software
Version 1.8.0
In Bioconductor since BioC 3.19 (R-4.4) (2.5 years)
License MIT + file LICENSE
Depends R (>= 4.1.0)
Imports HMM, utils, VariantAnnotation, GenomicRanges, S4Vectors, IRanges, SummarizedExperiment, stats, BiocParallel, GenomeInfoDb
System Requirements
URL https://github.com/martasevilla/UPDhmm
Bug Reports https://github.com/martasevilla/UPDhmm/issues
See More
Suggests knitr, testthat (>= 2.1.0), BiocStyle, rmarkdown, markdown, karyoploteR, regioneR, dplyr, BiocManager
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package UPDhmm_1.8.0.tar.gz
Windows Binary (x86_64) UPDhmm_1.8.0.zip
macOS Binary (big-sur-x86_64) UPDhmm_1.8.0.tgz
macOS Binary (sonoma-arm64) UPDhmm_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/UPDhmm
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/UPDhmm
Bioc Package Browser https://code.bioconductor.org/browse/UPDhmm/
Package Short Url https://bioconductor.org/packages/UPDhmm/
Package Downloads Report Download Stats