coral
CORAL: A framework for rigorous self-validated data modeling and integrative, reproducible data analysis
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: ncbi.nlm.nih.gov -
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.6%) to scientific vocabulary
Repository
CORAL: A framework for rigorous self-validated data modeling and integrative, reproducible data analysis
Basic Info
- Host: GitHub
- Owner: jmchandonia
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 7.89 MB
Statistics
- Stars: 7
- Watchers: 2
- Forks: 3
- Open Issues: 2
- Releases: 4
Metadata Files
README.md
CORAL
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.
Citation
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.
Installation
Follow the installation instructions in back_end, then the instructions in front_end.
Owner
- Name: John-Marc Chandonia
- Login: jmchandonia
- Kind: user
- Location: berkeley, ca
- Company: Berkeley National Lab
- Website: https://www.strgen.org/~jmc/
- Repositories: 47
- Profile: https://github.com/jmchandonia
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use CORAL, please cite the Gigascience publication, from 'preferred-citation'"
repository-code: "https://github.com/jmchandonia/CORAL"
title: "CORAL: A framework for rigorous self-validated data modeling and integrative, reproducible data analysis"
authors:
-
given-names: "Pavel S"
family-names: "Novichkov"
affiliation: "Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA"
orcid: https://orcid.org/0000-0002-1102-007X
-
given-names: "John-Marc"
family-names: "Chandonia"
affiliation: "Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA"
orcid: https://orcid.org/0000-0002-5153-9079
-
given-names: "Charles"
family-names: "DeVilholm"
affiliation: "Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA"
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given-names: "Adam P"
family-names: "Arkin"
affiliation: "Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA and Department of Bioengineering, University of California, Berkeley, CA 94720, USA"
orcid: https://orcid.org/0000-0002-4999-2931
preferred-citation:
title: "CORAL: A framework for rigorous self-validated data modeling and integrative, reproducible data analysis"
journal: "Gigascience"
doi: "10.1093/gigascience/giac089"
year: 2022
type: article
notes: "Pavel S. Novichkov and John-Marc Chandonia are joint first authors; John-Marc Chandonia and Adam P. Arkin are corresponding authors"
authors:
-
given-names: "Pavel S"
family-names: "Novichkov"
affiliation: "Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA"
orcid: https://orcid.org/0000-0002-1102-007X
-
given-names: "John-Marc"
family-names: "Chandonia"
affiliation: "Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA"
orcid: https://orcid.org/0000-0002-5153-9079
email: JMChandonia@lbl.gov
-
given-names: "Adam P"
family-names: "Arkin"
affiliation: "Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA and Department of Bioengineering, University of California, Berkeley, CA 94720, USA"
orcid: https://orcid.org/0000-0002-4999-2931
email: APArkin@lbl.gov
GitHub Events
Total
- Issues event: 1
- Watch event: 2
- Push event: 32
Last Year
- Issues event: 1
- Watch event: 2
- Push event: 32
Dependencies
- 1750 dependencies
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- zone.js ~0.10.2