Published July 21, 2017
| Version v1
Dataset
Open
Data for: Detecting Long-Term Balancing Selection Using Allele Frequency Correlation
Description
Genome-wide and top 1% scores for 1KG project data output from BetaScan reported in:
Detecting Long-Term Balancing Selection Using Allele Frequency Correlation.
Siewert KM, Voight BF. Mol Biol Evol. 2017 Nov 1;34(11):2996-3005. doi: 10.1093/molbev/msx209.
PMID: 28981714
Code available at: https://github.com/ksiewert/BetaScan
Files
Files
(1.9 GB)
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md5:1c4b08a006e66131b56eab45ccc99764
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15.1 MB | Download |
md5:1dc19f93b3b14d91fb121f11eced3578
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1.8 GB | Download |
Additional details
Related works
- Is published in
- Journal article: 10.1093/molbev/msx209 (DOI)
Funding
- Algorithms to identify non-coding mutational burden and disease-relevant pathways 1R01DK101478-01
- National Institutes of Health
- TRAINING GRANT IN COMPUTATIONAL GENOMICS 1T32HG000046-01
- National Institutes of Health