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https://github.com/tillahoffmann/coaloracle
Repository for simulated genetic data presented by Nunes and Balding (2010).
https://github.com/tillahoffmann/coaloracle
likelihood-free-inference open-data summary-statistics
Last synced: 27 days ago
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Repository for simulated genetic data presented by Nunes and Balding (2010).
- Host: GitHub
- URL: https://github.com/tillahoffmann/coaloracle
- Owner: tillahoffmann
- License: mit
- Created: 2022-06-13T19:07:29.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-06-28T19:38:08.000Z (over 2 years ago)
- Last Synced: 2024-03-23T13:31:21.973Z (8 months ago)
- Topics: likelihood-free-inference, open-data, summary-statistics
- Language: Makefile
- Homepage: https://paperswithcode.com/dataset/summaries-of-genetic-variation
- Size: 9.77 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Summaries of Genetic Variation
Repository for simulated genetic data presented by [Nunes and Balding (2010)](https://doi.org/10.2202/1544-6115.1576). See https://paperswithcode.com/dataset/summaries-of-genetic-variation for details.
The data comprise
- `csv/coal.csv`: 100,000 simulations with $\theta\sim\mathrm{Uniform}\left(2,10\right) $ and $\rho\sim\mathrm{Uniform}\left(0,10\right) $, where $\theta $ is the scaled mutation rate and $\rho $ is the scaled recombination rate.
- `csv/coalobs.csv`: 100 simulations with the same prior distribution as for `csv/coal.csv`.
- `csv/coaloracle.csv`: 1,000,000 simulations with $\theta\sim\mathrm{Uniform}\left(0,10\right) $ and $\rho\sim\mathrm{Uniform}\left(0,10\right) $.## Getting the data from scratch
Run
- `make csv` to download data and regenerate the CSV files (`Rscript` and `curl` must be installed).
- `make rda.shasum` to regenerate the checksum file to validate the integrity of the input data (`shasum` and `curl` must be installed).
- `make rda/validate` to validate the `rda` input files checksums (`shasum` and `curl` must be installed).[comment]: <> (there are some math rendering issues that can be resolved by funky formatting above; see https://github.com/github-community/community/discussions/19480 for details)