rbiom: Read/Write, Analyze, and Visualize 'BIOM' Data (original) (raw)

A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses. CPU intensive operations are coded in C for speed.

Version: 2.2.0
Depends: R (≥ 4.2.0)
Imports: methods, mgcv, stats, utils, ape, dplyr, emmeans, fillpattern, ggbeeswarm, ggnewscale, ggplot2, ggrepel, ggtext, jsonlite, magrittr, parallelly, patchwork, pillar, plyr, readr, readxl, slam, vegan
Suggests: cli, crayon, ggdensity, glue, labeling, lifecycle, openxlsx, optparse, pkgconfig, prettycode, R6, rlang, scales, testthat, tibble, tsne, uwot
Published: 2025-04-04
DOI: 10.32614/CRAN.package.rbiom
Author: Daniel P. Smith ORCID iD [aut, cre], Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith
BugReports: https://github.com/cmmr/rbiom/issues
License: MIT + file
URL: https://cmmr.github.io/rbiom/, https://github.com/cmmr/rbiom
NeedsCompilation: yes
Materials: README
CRAN checks: rbiom results

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