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Bioconductor - mbQTL (development version)

mbQTL

This is the development version of mbQTL; for the stable release version, see mbQTL.

mbQTL: A package for SNP-Taxa mGWAS analysis

Bioconductor version: Development (3.22)

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] ORCID: 0000-0001-7690-0230 , 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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews Metagenomics, Microbiome, Regression, SNP, Software, StatisticalMethod, WholeGenome Version 1.9.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License MIT + file LICENSE Depends R (>= 4.3.0) Imports MatrixEQTL, dplyr, ggplot2, readxl, stringr, tidyr, metagenomeSeq, pheatmap, broom, graphics, stats, methods System Requirements URL "https://github.com/Mercedeh66/mbQTL" See More Package Archives

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


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