- recipe bioconductor-ancombc
Microbiome differential abudance and correlation analyses with bias correction
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/ANCOMBC.html
- License:
Artistic-2.0
- Recipe:
ANCOMBC is a package containing differential abundance (DA) and correlation analyses for microbiome data. Specifically, the package includes Analysis of Compositions of Microbiomes with Bias Correction 2 (ANCOM-BC2), Analysis of Compositions of Microbiomes with Bias Correction (ANCOM-BC), and Analysis of Composition of Microbiomes (ANCOM) for DA analysis, and Sparse Estimation of Correlations among Microbiomes (SECOM) for correlation analysis. Microbiome data are typically subject to two sources of biases: unequal sampling fractions (sample-specific biases) and differential sequencing efficiencies (taxon-specific biases). Methodologies included in the ANCOMBC package are designed to correct these biases and construct statistically consistent estimators.
- package bioconductor-ancombc¶
-
- Versions:
2.0.1-0
,1.4.0-0
,1.2.0-0
,1.0.5-0
,1.0.0-2
- Depends:
bioconductor-mia
>=1.6.0,<1.7.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
bioconductor-singlecellexperiment
>=1.20.0,<1.21.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
bioconductor-treesummarizedexperiment
>=2.6.0,<2.7.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-ancombc
and update with:
conda update bioconductor-ancombc
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-ancombc:<tag>
(see bioconductor-ancombc/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-ancombc/README.html)