bioconda / packages / bioconductor-aldex2 1.24.0

Analysis Of Differential Abundance Taking Sample Variation Into Account


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v1.12.0
  • osx-64  v1.12.0
  • noarch  v1.24.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-aldex2
conda install -c bioconda/label/gcc7 bioconductor-aldex2
conda install -c bioconda/label/cf201901 bioconductor-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, a generalized linear model (via aldex.glm), or a correlation test (via aldex.corr). All tests report p-values and Benjamini-Hochberg corrected p-values.

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