https://github.com/amlalejini/evolutionary-consequences-of-plasticity
We use digital evolution to investigate the evolutionary consequences of phenotypic plasticity.
https://github.com/amlalejini/evolutionary-consequences-of-plasticity
Science Score: 10.0%
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○CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (5.7%) to scientific vocabulary
Keywords
avida
changing-environments
digital-evolution
digital-organisms
evolutionary-consequences
phenotypic-plasticity
supplemental-material
Last synced: 5 months ago
·
JSON representation
Repository
We use digital evolution to investigate the evolutionary consequences of phenotypic plasticity.
Basic Info
- Host: GitHub
- Owner: amlalejini
- License: mit
- Language: C++
- Default Branch: master
- Homepage: https://lalejini.com/evolutionary-consequences-of-plasticity
- Size: 318 MB
Statistics
- Stars: 3
- Watchers: 3
- Forks: 2
- Open Issues: 0
- Releases: 0
Topics
avida
changing-environments
digital-evolution
digital-organisms
evolutionary-consequences
phenotypic-plasticity
supplemental-material
Created over 5 years ago
· Last pushed almost 4 years ago
Metadata Files
Readme
License
README.md
Adaptive phenotypic plasticity stabilizes evolution in fluctuating environments
Hit the supplemental material badge at the top of this readme to navigate to our supplement!
Repository guide:
- avida/ contains the version of the Avida software used for this work.
- docs/ contains miscellaneous documentation associated with this work.
- experiments/ contains the configuration files, hpcc submission scripts, and analysis scripts for our preliminary and final experiments.
- media/ contains any media used by our supplemental material.
Owner
- Name: Alex Lalejini
- Login: amlalejini
- Kind: user
- Location: Grand Rapids, MI
- Company: Grand Valley State University
- Website: https://lalejini.com
- Twitter: amlalejini
- Repositories: 98
- Profile: https://github.com/amlalejini
Assistant Professor @ Grand Valley State University
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Last synced: 12 months ago
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- Total pull requests: 4
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- Average time to close pull requests: about 12 hours
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 4
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- Average time to close pull requests: N/A
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- Average comments per issue: 0
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- FergusonAJ (4)
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Dependencies
requirements.txt
pypi
- pandas *
- pyvarco *