CORAL (Contextual Ontology-based Repository Analysis Library) is a framework for rigorous self-validated data modeling and integrative, reproducible data analysis.
This software was developed at the Berkeley Lab by Pavel S. Novichkov, John-Marc Chandonia, Charles DeVilholm, and Adam P. Arkin.
CORAL Prototype Implementation (CORAL) Copyright (c) 2021-2023, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.
This software is available under the GNU Affero General Public License ("AGPL") or a separate commercial use license. If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov. If you would like more information about obtaining this software under the terms of the commercial use license rather than the AGPL, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.
NOTICE. U.S. Government Rights. The Software was developed under funding from the U.S. Government. During a period of commercialization granted to Berkeley Lab by the U.S. Department of Energy, the U.S. Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable, worldwide license in the Software to reproduce, prepare derivative works, and perform publicly and display publicly, by or on behalf of the U.S. Government. Subsequent to that period, the U.S. Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable, worldwide license in the Software to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.
This work by ENIGMA (Ecosystems and Networks Integrated with Genes and Molecular Assemblies) (http://enigma.lbl.gov), a Scientific Focus Area Program at Lawrence Berkeley National Laboratory, is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, under contract number DE-AC02-05CH11231.
Novichkov PS*, Chandonia JM*, Arkin AP. 2022. CORAL: A framework for rigorous self-validated data modeling and integrative, reproducible data analysis. Gigascience 2022 Oct 17;11:giac089. [PubMed]|[PDF]
* Joint first authors
Note that a lot of documentation, including an overview of the software, is in the Supplemental PDF, also called "giac089_Supplemental_File" on the journal's website.
Follow the installation instructions in back_end, then the instructions in front_end.