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An implementation of the reverse ecology framework. Reverse ecology refers to the use of genomics to study ecology with no a priori assumptions about the organism(s) under consideration, linking organisms to their environment. It allows researchers to reconstruct the metabolic networks and study the ecology of poorly characterized microbial species from their genomic information, and has substantial potentials for microbial community ecological analysis.
Version: | 0.99.3 |
Depends: | R (≥ 2.14) |
Imports: | Matrix, igraph, XML, stringr, magrittr, gtools, plyr, purrr, methods |
Suggests: | knitr |
Published: | 2016-04-03 |
DOI: | 10.32614/CRAN.package.RevEcoR |
Author: | Yang Cao, Fei Li |
Maintainer: | Yang Cao <yiluheihei at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | RevEcoR results |
Reference manual: | RevEcoR.pdf |
Vignettes: |
Revse Ecology Analysis on Microbiome |
Package source: | RevEcoR_0.99.3.tar.gz |
Windows binaries: | r-devel: RevEcoR_0.99.3.zip, r-release: RevEcoR_0.99.3.zip, r-oldrel: RevEcoR_0.99.3.zip |
macOS binaries: | r-release (arm64): RevEcoR_0.99.3.tgz, r-oldrel (arm64): RevEcoR_0.99.3.tgz, r-release (x86_64): RevEcoR_0.99.3.tgz, r-oldrel (x86_64): RevEcoR_0.99.3.tgz |
Old sources: | RevEcoR archive |
Reverse imports: | ssifs |
Please use the canonical form https://CRAN.R-project.org/package=RevEcoR 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.