Published May 30, 2020
| Version 232a862
Software
Open
gwas-vcf-performance
Creators
- 1. National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
- 2. Ronald M. Loeb Center for Alzheimer's disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029-5674, USA
- 3. Medical Research Council (MRC) Integrative Epidemiology Unit (IEU), Bristol Medical School (Population Health Sciences), University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
Description
Runtime performance for querying GWAS summary statistics in plain/tabular text and VCF
Notes
https://github.com/MRCIEU/gwas-vcf-performance
Files
Files
(10.3 MB)
| Name | Size | Download all |
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md5:3a9c498ea9a482d07350a8aa6647c955
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10.3 MB | Download |
Additional details
Related works
- Is cited by
- Preprint: 10.1101/2020.05.29.115824 (DOI)
Funding
- Data mining epidemiological relationships: integration of causal analysis with published evidence MC_UU_00011/4
- UK Research and Innovation
- The causal map of the human phenome 208806
- Wellcome Trust