The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Code to identify functional enrichments across diverse taxa in phylogenetic tree, particularly where these taxa differ in abundance across samples in a non-random pattern. The motivation for this approach is to identify microbial functions encoded by diverse taxa that are at higher abundance in certain samples compared to others, which could indicate that such functions are broadly adaptive under certain conditions. See 'GitHub' repository for tutorial and examples: <https://github.com/gavinmdouglas/POMS/wiki>. Citation: Gavin M. Douglas, Molly G. Hayes, Morgan G. I. Langille, Elhanan Borenstein (2022) <doi:10.1093/bioinformatics/btac655>.
Version: | 1.0.1 |
Depends: | R (≥ 3.5.0) |
Imports: | ape (≥ 3.0), data.table, MASS, parallel (≥ 3.3.0), phangorn (≥ 2.0.0), phylolm (≥ 2.6), utils, XNomial (≥ 1.0.4) |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2022-12-14 |
DOI: | 10.32614/CRAN.package.POMS |
Author: | Gavin Douglas [aut, cre] |
Maintainer: | Gavin Douglas <gavinmdouglas at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | POMS citation info |
Materials: | README |
CRAN checks: | POMS results |
Reference manual: | POMS.pdf |
Package source: | POMS_1.0.1.tar.gz |
Windows binaries: | r-devel: POMS_1.0.1.zip, r-release: POMS_1.0.1.zip, r-oldrel: POMS_1.0.1.zip |
macOS binaries: | r-release (arm64): POMS_1.0.1.tgz, r-oldrel (arm64): POMS_1.0.1.tgz, r-release (x86_64): POMS_1.0.1.tgz, r-oldrel (x86_64): POMS_1.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=POMS to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.