DESCRIPTION

Package: deepredeff
Title: Deep Learning Prediction of Effectors
Version: 0.1.2
Authors@R: 
    person(given = "Ruth",
           family = "Kristianingsih",
           role = c("aut", "cre", "cph"),
           email = "ruth.kristianingsih30@gmail.com",
           comment = c(ORCID = "0000-0003-1873-6203"))
Description: A tool that contains trained deep learning models
    for predicting effector proteins. 'deepredeff' has been trained to
    identify effector proteins using a set of known experimentally
    validated effectors from either bacteria, fungi, or oomycetes.
    Documentation is available via several vignettes, and the paper by
    Kristianingsih and MacLean (2020) <doi:10.1101/2020.07.08.193250>.
License: MIT + file LICENSE
URL: https://github.com/ruthkr/deepredeff/
BugReports: https://github.com/ruthkr/deepredeff/issues/
Depends: 
    R (>= 2.10)
Imports: 
    Biostrings,
    dplyr,
    ggplot2,
    ggthemes,
    keras,
    magrittr,
    purrr,
    reticulate,
    rlang,
    seqinr,
    tensorflow
Suggests: 
    covr,
    kableExtra,
    knitr,
    rmarkdown,
    stringr,
    testthat
VignetteBuilder: 
    knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3