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MouseFM

In-silico methods for genetic finemapping in inbred mice

Bioconductor version: 3.23 · Package version: 1.22.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

This package provides methods for genetic finemapping in inbred mice by taking advantage of their very high homozygosity rate (>95%).

DOI: 10.18129/B9.bioc.MouseFM

Installation

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

BiocManager::install("MouseFM")

Details

MaintainerMatthias Munz <matthias.munz@gmx.de>
AuthorMatthias Munz [aut, cre] (ORCID: <https://orcid.org/0000-0002-4728-3357>), Inken Wohlers [aut] (ORCID: <https://orcid.org/0000-0003-4004-0464>), Hauke Busch [aut] (ORCID: <https://orcid.org/0000-0003-4763-4521>)
LicenseGPL-3
Bug Reportshttps://github.com/matmu/MouseFM/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsBiomedicalInformatics, FunctionalGenomics, GenePrediction, GeneTarget, Genetics, GenomicVariation, MathematicalBiology, MultipleComparison, PatternLogic, SNP, Software, SystemsBiology, VariantAnnotation
Package Short Url https://bioconductor.org/packages/MouseFM/

Citation

From within R, enter citation("MouseFM"):

Matthias Munz, Inken Wohlers, Hauke Busch. MouseFM: In-silico methods for genetic finemapping in inbred mice. doi:10.18129/B9.bioc.MouseFM, R package version 1.22.0, https://bioconductor.org/packages/MouseFM.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMouseFM_1.22.0.tar.gz
Windows binary (x86_64)MouseFM_1.22.0.zip
macOS binary (arm64)MouseFM_1.22.0.tgz
macOS binary (x86_64)MouseFM_1.22.0.tgz
Dependencies

Depends: R (>= 4.0.0)

Imports: httr, curl, GenomicRanges, dplyr, ggplot2, reshape2, scales, gtools, tidyr, data.table, jsonlite, rlist, Seqinfo, methods, biomaRt, stats, IRanges

Suggests: BiocStyle, testthat, knitr, rmarkdown