- recipe bioconductor-aldex2
Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/ALDEx2.html
- License:
GPL (>=3)
- Recipe:
- Links:
biotools: aldex2
A differential abundance analysis for the comparison of two or more conditions. Useful for analyzing data from standard RNA-seq or meta-RNA-seq assays as well as selected and unselected values from in-vitro sequence selections. Uses a Dirichlet-multinomial model to infer abundance from counts, optimized for three or more experimental replicates. The method infers biological and sampling variation to calculate the expected false discovery rate, given the variation, based on a Wilcoxon Rank Sum test and Welch's t-test (via aldex.ttest), a Kruskal-Wallis test (via aldex.kw), a generalized linear model (via aldex.glm), or a correlation test (via aldex.corr). All tests report predicted p-values and posterior Benjamini-Hochberg corrected p-values. ALDEx2 also calculates expected standardized effect sizes for paired or unpaired study designs. ALDEx2 can now be used to estimate the effect of scale on the results and report on the scale-dependent robustness of results.
- package bioconductor-aldex2¶
- versions:
1.34.0-0
,1.32.0-0
,1.30.0-0
,1.26.0-0
,1.24.0-0
,1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-0
,1.34.0-0
,1.32.0-0
,1.30.0-0
,1.26.0-0
,1.24.0-0
,1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-1
,1.14.1-0
,1.14.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-0
- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0
- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0
- depends bioconductor-iranges:
>=2.36.0,<2.37.0
- depends bioconductor-multtest:
>=2.58.0,<2.59.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-directlabels:
- depends r-lattice:
- depends r-latticeextra:
- depends r-rfast:
- depends r-zcompositions:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-aldex2 and update with:: mamba update bioconductor-aldex2
To create a new environment, run:
mamba create --name myenvname bioconductor-aldex2
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-aldex2:<tag> (see `bioconductor-aldex2/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-aldex2/README.html)