mbQTL

DOI: 10.18129/B9.bioc.mbQTL  

mbQTL: A package for SNP-Taxa mGWAS analysis

Bioconductor version: Release (3.17)

mbQTL is a statistical R package for simultaneous 16srRNA,16srDNA (microbial) and variant, SNP, SNV (host) relationship, correlation, regression studies. We apply linear, logistic and correlation based statistics to identify the relationships of taxa, genus, species and variant, SNP, SNV in the infected host. We produce various statistical significance measures such as P values, FDR, BC and probability estimation to show significance of these relationships. Further we provide various visualization function for ease and clarification of the results of these analysis. The package is compatible with dataframe, MRexperiment and text formats.

Author: Mercedeh Movassagh [aut, cre] , Steven Schiff [aut], Joseph N Paulson [aut]

Maintainer: Mercedeh Movassagh <mercedeh.movassagh at yale.edu>

Citation (from within R, enter citation("mbQTL")):

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("mbQTL")

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("mbQTL")

 

HTML R Script MbQTL_Vignette
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Metagenomics, Microbiome, Regression, SNP, Software, StatisticalMethod, WholeGenome
Version 1.0.0
In Bioconductor since BioC 3.17 (R-4.3) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.3.0)
Imports MatrixEQTL, dplyr, ggplot2, readxl, stringr, tidyr, metagenomeSeq, pheatmap, broom, graphics, stats, methods
LinkingTo
Suggests knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL "https://github.com/Mercedeh66/mbQTL"
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package mbQTL_1.0.0.tar.gz
Windows Binary mbQTL_1.0.0.zip
macOS Binary (x86_64) mbQTL_1.0.0.tgz
macOS Binary (arm64) mbQTL_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mbQTL
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mbQTL
Bioc Package Browser https://code.bioconductor.org/browse/mbQTL/
Package Short Url https://bioconductor.org/packages/mbQTL/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.17 Source Archive

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