# The dnet package is distributed as a CRAN package, freely available both for academic and non-academic users.
For it to be working, the latest R version should be first installed, along with several reguired/suggested packages. The dnet package, like other R packages, can run on Windows, Mac and Linux, but some functionalities (such as parallel computing) are only supported in Linux and Mac. Details on how to install are described in the Installation
page. Since the package is under active development, it is advisable to upgrade to the latest stable version.
# The dnet package is specifically designed to analyse high-throughput omics data in an integrative manner.
It has the focus on making sense of these digitised data from different angles including: integration with molecular networks, enrichments using ontologies, and relevance to gene evolutionary ages. New functionalities will be noticed under the section 'Features' in the homepage
. The workflow of the package can also be found in the Installation