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ANCOMBC

Microbiome differential abudance and correlation analyses with bias correction

Bioconductor version: 3.23 · Package version: 2.14.0

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.

Installation

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

BiocManager::install("ANCOMBC")

Details

MaintainerHuang Lin <huanglinfrederick@gmail.com>
AuthorHuang Lin [cre, aut] (ORCID: <https://orcid.org/0000-0002-4892-7871>)
LicenseArtistic-2.0
URLhttps://github.com/FrederickHuangLin/ANCOMBC
Bug Reportshttps://github.com/FrederickHuangLin/ANCOMBC/issues
Downloads rank2264
Source branchRELEASE_3_23
biocViewsDifferentialExpression, Microbiome, Normalization, Sequencing, Software

Documentation

Download

Dependencies

Depends: R (>= 4.5.0)

Imports: stats, DescTools, Hmisc, MASS, Matrix, Rdpack, doParallel, doRNG, energy, foreach, gtools, lme4, lmerTest, multcomp, nloptr, parallel, utils, quadprog

Suggests: mia (>= 1.18.0), DT, S4Vectors, SingleCellExperiment, SummarizedExperiment, TreeSummarizedExperiment, dplyr, knitr, magrittr, microbiome, phyloseq, rmarkdown, testthat, tidyr, tidyverse

Reverse dependencies

Imports Me (1): benchdamic

Suggests Me (2): dar, MiscMetabar