mia
Microbiome analysis
Bioconductor version: Release (3.19)
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] , Sudarshan A. Shetty [aut]
, Tuomas Borman [aut, cre]
, 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], Basil Courbayre [ctb], Muluh Muluh [ctb]
Maintainer: Tuomas Borman <tuomas.v.borman at utu.fi>
citation("mia")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("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")
mia | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | DataImport, Microbiome, Software |
Version | 1.12.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (3.5 years) |
License | Artistic-2.0 | file LICENSE |
Depends | R (>= 4.0), SummarizedExperiment, SingleCellExperiment, TreeSummarizedExperiment(>= 1.99.3), MultiAssayExperiment |
Imports | methods, stats, utils, MASS, ape, decontam, vegan, BiocGenerics, S4Vectors, IRanges, Biostrings, DECIPHER, BiocParallel, DelayedArray, DelayedMatrixStats, scuttle, scater, DirichletMultinomial, rlang, dplyr, tibble, tidyr, bluster, MatrixGenerics |
System Requirements | |
URL | https://github.com/microbiome/mia |
Bug Reports | https://github.com/microbiome/mia/issues |
See More
Suggests | testthat, knitr, patchwork, BiocStyle, yaml, phyloseq, dada2, stringr, biomformat, reldist, ade4, microbiomeDataSets, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | miaViz |
Imports Me | ANCOMBC, dar, MGnifyR, curatedMetagenomicData |
Suggests Me | CBEA, miaSim, philr, MicrobiomeBenchmarkData, MiscMetabar |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | mia_1.12.0.tar.gz |
Windows Binary | mia_1.12.0.zip |
macOS Binary (x86_64) | mia_1.12.0.tgz |
macOS Binary (arm64) | mia_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/mia |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/mia |
Bioc Package Browser | https://code.bioconductor.org/browse/mia/ |
Package Short Url | https://bioconductor.org/packages/mia/ |
Package Downloads Report | Download Stats |