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+++ b/DESCRIPTION
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+Package: deepG
+Title: Deep Learning for Genome Sequence Data
+Version: 0.3.1
+Encoding: UTF-8
+Authors@R: c(
+       person(given = "Philipp",
+              family = "Münch",
+              role = "aut",
+              email = "philipp.muench@helmholtz-hzi.de"),
+       person(given = "René",
+              family = "Mreches",
+              role = c("aut"),
+              email = "mr.francois@gmx.de"),
+       person(given = "Martin",
+              family = "Binder",
+              role = c("aut", "cre"),
+              email = "developer.mb706@mb706.com"),
+       person(given = "Hüseyin Anil",
+              family = "Gündüz",
+              role = "aut",
+              email = "anil.guenduez@stat.uni-muenchen.de"),
+       person(given = "Xiao-Yin",
+              family = "To",
+              role = "aut",
+              email = "x.to@stat.uni-muenchen.de"),        
+       person(given = "Alice",
+              family = "McHardy",
+              role = "aut",
+              email = "alice.mchardy@helmholtz-hzi.de")
+     )
+Description: Training and applying deep learning models to genome sequence data.
+  Applications include data processing, model fitting, model evaluation, model optimization and inference.
+  A few genome datasets for testing are provided, as is the possibility to extract deep representations.
+License: LGPL (>= 3)
+URL: https://github.com/GenomeNet/deepG,
+    https://deepg.de/
+BugReports: https://github.com/GenomeNet/deepG/issues
+Roxygen: list(markdown = TRUE)
+Depends:
+    R (>= 3.5.0)
+Imports:
+    hdf5r,
+    keras,
+    tensorflow,
+    reticulate,
+    data.table,
+    abind,
+    stringr,
+    purrr,
+    magrittr,
+    dplyr,
+    ggplot2,
+    yardstick,
+    jpeg,
+    png,
+    microseq,
+    checkmate,
+    readr
+NeedsCompilation: yes
+RoxygenNote: 7.3.1
+Suggests: 
+    testthat,
+    circlize,
+    pROC,
+    PRROC,
+    ComplexHeatmap,
+    knitr,
+    rmarkdown,
+    devtools,
+    spelling
+VignetteBuilder: 
+    knitr
+Language: en-US