--- a
+++ b/DESCRIPTION
@@ -0,0 +1,41 @@
+Package: timeOmics
+Title: Time-Course Multi-Omics data integration
+Version: 1.15.11
+Authors@R: 
+    c(person("Antoine","Bodein", role = c("aut", "cre"), email = "antoine.bodein.1@ulaval.ca"),
+      person("Olivier", "Chapleur", role = c("aut")),
+      person("Kim-Anh", "Le Cao", role = c("aut")),
+      person("Arnaud", "Droit", role = c("aut")))
+Description: timeOmics is a generic data-driven framework to integrate 
+  multi-Omics longitudinal data measured on the same biological samples and select 
+  key temporal features with strong associations within the same sample group.
+  The main steps of timeOmics are: 
+    1. Plaform and time-specific normalization and filtering steps;
+    2. Modelling each biological into one time expression profile;
+    3. Clustering features with the same expression profile over time;
+    4. Post-hoc validation step.
+License: GPL-3
+Encoding: UTF-8
+LazyData: true
+Imports:
+    dplyr,
+    tidyr,
+    tibble,
+    purrr,
+    magrittr,
+    ggplot2,
+    stringr, 
+    ggrepel,
+    lmtest, 
+    plyr,
+    checkmate
+biocViews: Clustering,FeatureExtraction,TimeCourse,DimensionReduction,Software,
+    Sequencing, Microarray, Metabolomics, Metagenomics, Proteomics,
+      Classification, Regression, ImmunoOncology, GenePrediction,
+      MultipleComparison
+Depends: mixOmics, R (>= 4.0)
+RoxygenNote: 7.3.1
+VignetteBuilder: knitr
+Suggests: BiocStyle, knitr, rmarkdown, testthat, snow, tidyverse, igraph, gplots
+Remotes: cran/lmms
+BugReports: https://github.com/abodein/timeOmics/issues