Bioconductor 3.22 Released

miaTime

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

Microbiome Time Series Analysis


Bioconductor version: Development (3.23)

The `miaTime` package provides tools for microbiome time series analysis based on (Tree)SummarizedExperiment infrastructure.

Author: Leo Lahti [aut] ORCID iD ORCID: 0000-0001-5537-637X , Tuomas Borman [aut, cre] ORCID iD ORCID: 0000-0002-8563-8884 , Yagmur Simsek [aut], Sudarshan Shetty [ctb], Chouaib Benchraka [ctb], Muluh Muluh [ctb], Ali Hajj [ctb]

Maintainer: Tuomas Borman <tuomas.v.borman at utu.fi>

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

Installation

To install this package, start R (version "4.6") and enter:


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

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

BiocManager::install("miaTime")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Microbiome, Sequencing, Software
Version 1.1.0
In Bioconductor since BioC 3.22 (R-4.5) (< 6 months)
License Artistic-2.0 | file LICENSE
Depends R (>= 4.5.0), mia
Imports dplyr, methods, S4Vectors, SingleCellExperiment, stats, SummarizedExperiment, tidyr, TreeSummarizedExperiment
System Requirements
URL https://github.com/microbiome/miaTime
Bug Reports https://github.com/microbiome/miaTime/issues
See More
Suggests BiocStyle, devtools, ggplot2, knitr, lubridate, miaViz, rmarkdown, scater, testthat, vegan
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/miaTime
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/miaTime
Package Short Url https://bioconductor.org/packages/miaTime/
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