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 |
| 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 |
| Reference manual: | effectR.pdf |
| Vignettes: |
effectR: An R package to call oomycete effectors |
| 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: effectR_1.0.2.tgz, r-oldrel: effectR_1.0.2.tgz |
| Old sources: | effectR archive |
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