The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.

effectR: Predicts Oomycete Effectors

Predicts cytoplasmic effector proteins using genomic data by searching for motifs of interest using regular expression searches and hidden Markov models (HMM) based in Haas et al. (2009) <doi:10.1038/nature08358>.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: seqinr (≥ 3.3.6), ggplot2 (≥ 2.2.1), shiny, reshape2, utils, rmarkdown, viridis
Suggests: knitr, testthat
Published: 2018-09-30
DOI: 10.32614/CRAN.package.effectR
Author: Javier Tabima [aut, cre], Niklaus J. Grunwald [ths]
Maintainer: Javier Tabima <tabimaj at oregonstate.edu>
License: GPL-2 | GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: effectR results

Documentation:

Reference manual: effectR.pdf
Vignettes: effectR: An R package to call oomycete effectors

Downloads:

Package source: effectR_1.0.2.tar.gz
Windows binaries: r-devel: effectR_1.0.2.zip, r-release: effectR_1.0.2.zip, r-oldrel: effectR_1.0.2.zip
macOS binaries: r-release (arm64): effectR_1.0.2.tgz, r-oldrel (arm64): effectR_1.0.2.tgz, r-release (x86_64): effectR_1.0.2.tgz, r-oldrel (x86_64): effectR_1.0.2.tgz
Old sources: effectR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=effectR 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.