Software Open Access
Source code for the GWAS Diversity Monitor
Boef, Nynke;
Brunier, Quentin;
Knowles, Ian;
Malowany, Alex;
May, Jamie;
Mills, Melinda C.;
Misseri, Lea;
Nixon, Gareth;
Ntova, Veatriki;
Rahal, Charles;
Sinclair, Chris
This is the first full release of the code which powers the GWAS Diversity Monitor.
Funded by ERC grants 615603 and 835079 and a British Academy Postdoctoral Fellowship.
Files
(15.2 MB)
| Name | Size | |
|---|---|---|
|
OxfordDemSci/gwasdiversitymonitor-v1.0.0.zip
md5:01511667c8dc2dbf5cac63c696c6b2c6 |
15.2 MB | Download |
Mills, M.C. and Rahal, C., (2020), 'Tracking GWAS diversity by disease requires real-time monitoring', Accepted at Nature Genetics.
870
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views
downloads
| All versions | This version | |
|---|---|---|
| Views | 870 | 870 |
| Downloads | 10 | 10 |
| Data volume | 151.7 MB | 151.7 MB |
| Unique views | 429 | 429 |
| Unique downloads | 10 | 10 |
Indexed in
- Publication date:
- January 7, 2020
- DOI:
-
- Keyword(s):
- genomics interactive dashboard python d3js diversity
- Grants:
-
European Commission:
- SOCIOGENOME - Unravelling the genetic influences of reproductive behaviour and gene-environment interaction (615603)
- License (for files):
- MIT License