Package: SpoMAG 0.1.0

SpoMAG: Probability of Sporulation Potential in MAGs

Implements an ensemble machine learning approach to predict the sporulation potential of metagenome-assembled genomes (MAGs) from uncultivated Firmicutes based on the presence/absence of sporulation-associated genes.

Authors:Douglas Terra Machado [aut, cre], Otávio José Bernardes Brustolini [ctb], Ellen dos Santos Corrêa [ctb], Ana Tereza Ribeiro Vasconcelos [ctb]

SpoMAG_0.1.0.tar.gz
SpoMAG_0.1.0.zip(r-4.7)SpoMAG_0.1.0.zip(r-4.6)SpoMAG_0.1.0.zip(r-4.5)
SpoMAG_0.1.0.tgz(r-4.6-any)SpoMAG_0.1.0.tgz(r-4.5-any)
SpoMAG_0.1.0.tar.gz(r-4.7-any)SpoMAG_0.1.0.tar.gz(r-4.6-any)
SpoMAG_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SpoMAG/json (API)

# Install 'SpoMAG' in R:
install.packages('SpoMAG', repos = c('https://douglasterra.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 9 scripts 562 downloads 3 exports 20 dependencies

Last updated from:a59d0be64e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
source / vignettesOK190
linux-release-x86_64OK141
macos-release-arm64OK137
macos-oldrel-arm64OK188
windows-develOK100
windows-releaseOK108
windows-oldrelOK84
wasm-releaseOK124

Exports:build_binary_matrixpredict_sporulationsporulation_gene_name

Dependencies:clicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr