mia

DOI: 10.18129/B9.bioc.mia    

Microbiome analysis

Bioconductor version: Release (3.13)

mia implements tools for microbiome analysis based on the SummarizedExperiment, SingleCellExperiment and TreeSummarizedExperiment infrastructure. Data wrangling and analysis in the context of taxonomic data is the main scope. Additional functions for common task are implemented such as community indices calculation and summarization.

Author: Felix G.M. Ernst [aut, cre] , Sudarshan A. Shetty [aut] , Tuomas Borman [aut] , Leo Lahti [aut] , Yang Cao [ctb], Nathan D. Olson [ctb], Levi Waldron [ctb], Marcel Ramos [ctb], Héctor Corrada Bravo [ctb], Jayaram Kancherla [ctb], Domenick Braccia [ctb]

Maintainer: Felix G.M. Ernst <felix.gm.ernst at outlook.com>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("mia")

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("mia")

 

HTML	R Script	mia
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	DataImport, Microbiome, Software
Version	1.0.8
In Bioconductor since	BioC 3.13 (R-4.1) (< 6 months)
License	Artistic-2.0 | file LICENSE
Depends	R (>= 4.1), SummarizedExperiment, SingleCellExperiment, TreeSummarizedExperiment(>= 1.99.3)
Imports	methods, stats, utils, MASS, ape, decontam, vegan, BiocGenerics, S4Vectors, IRanges, Biostrings, DECIPHER, BiocParallel, DelayedArray, DelayedMatrixStats, scuttle, scater, DirichletMultinomial, rlang, dplyr, tibble, tidyr
LinkingTo
Suggests	testthat, knitr, patchwork, BiocStyle, yaml, phyloseq, dada2, stringr, biomformat, reldist, ade4, microbiomeDataSets, rmarkdown
SystemRequirements
Enhances
URL	https://github.com/microbiome/mia
BugReports	https://github.com/microbiome/mia/issues
Depends On Me	miaViz
Imports Me
Suggests Me	curatedMetagenomicData
Links To Me
Build Report

Package Archives

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

Source Package	mia_1.0.8.tar.gz
Windows Binary	mia_1.0.8.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	mia_1.0.8.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mia
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/mia
Package Short Url	https://bioconductor.org/packages/mia/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.13	Source Archive