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effectR  

Predicts Oomycete Effectors
View on CRAN: Click here


Download and install effectR package within the R console
Install from CRAN:
install.packages("effectR")

Install from Github:
library("remotes")
install_github("cran/effectR")

Install by package version:
library("remotes")
install_version("effectR", "1.0.2")



Attach the package and use:
library("effectR")
Maintained by
Javier Tabima
[Scholar Profile | Author Map]
First Published: 2018-01-17
Latest Update: 2018-09-30
Description:
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) .
How to cite:
Javier Tabima (2018). effectR: Predicts Oomycete Effectors. R package version 1.0.2, https://cran.r-project.org/web/packages/effectR. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.0 (2018-01-17 12:26), 1.0.1 (2018-04-25 21:51)
Other packages that cited effectR R package
View effectR citation profile
Other R packages that effectR depends, imports, suggests or enhances
Complete documentation for effectR
Functions, R codes and Examples using the effectR R package
Some associated functions: candidate.rxlr . effectR . effector.summary . fasta_to_stockholm . get_hmmer_path . get_mafft_path . hmm.logo . hmm.search . regex.search . shiny.effectR . 
Some associated R codes: datasets.R . effector.summary.R . hmm.logo.R . hmm.search.R . internal.R . package.R . regex.search.R . shiny.effectR.R .  Full effectR package functions and examples
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