Bioconductor release scheduled for October 29

anansi

This is the development version of anansi; to use it, please install the devel version of Bioconductor.

Annotation-Based Analysis of Specific Interactions


Bioconductor version: Development (3.22)

Studies including both microbiome and metabolomics data are becoming more common. Often, it would be helpful to integrate both datasets in order to see if they corroborate each others patterns. All vs all association is imprecise and likely to yield spurious associations. This package takes a knowledge-based approach to constrain association search space, only considering metabolite-function pairs that have been recorded in a pathway database. This package also provides a framework to assess differential association.

Author: Thomaz Bastiaanssen [aut, cre] ORCID iD ORCID: 0000-0001-6891-734X , Thomas Quinn [aut] ORCID iD ORCID: 0000-0003-0286-6329 , Giulio Benedetti [aut] ORCID iD ORCID: 0000-0002-8732-7692 , Tuomas Borman [aut] ORCID iD ORCID: 0000-0002-8563-8884 , Leo Lahti [aut] ORCID iD ORCID: 0000-0001-5537-637X

Maintainer: Thomaz Bastiaanssen <thomazbastiaanssen at gmail.com>

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

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("anansi")

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("anansi")
1. Getting started with anansi HTML R Script
2. Working with (bi)adjacency matrices HTML R Script
3. Differential associations HTML R Script
Reference Manual PDF

Details

biocViews KEGG, Metabolomics, Microbiome, Pathways, Regression, Software
Version 0.99.4
In Bioconductor since BioC 3.22 (R-4.5)
License GPL-3
Depends R (>= 4.5.0)
Imports S7, stats, methods, igraph, Matrix, forcats, S4Vectors, SummarizedExperiment, MultiAssayExperiment, SingleCellExperiment, TreeSummarizedExperiment, rlang, ggplot2, ggforce, patchwork, ggraph, tidygraph
System Requirements
URL https://github.com/thomazbastiaanssen/anansi https://thomazbastiaanssen.github.io/anansi
Bug Reports https://github.com/thomazbastiaanssen/anansi/issues
See More
Suggests BiocStyle, dplyr, tidyr, graph, mia, KEGGREST, testthat (>= 3.0.0), knitr, rmarkdown
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Package Archives

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

Source Package anansi_0.99.4.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64) anansi_0.99.4.tgz
macOS Binary (arm64) anansi_0.99.4.tgz
Source Repository git clone https://git.bioconductor.org/packages/anansi
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/anansi
Bioc Package Browser https://code.bioconductor.org/browse/anansi/
Package Short Url https://bioconductor.org/packages/anansi/
Package Downloads Report Download Stats