shuangsong0110/OWAS: Openness Weighted Association Studies: Leveraging Personal Genome Information to Prioritize Noncoding Variants
We design algorithms for implementation of a computational approach, Openness Weighted Association Studies (OWAS), which leverages and aggregates predictions of chromosome accessibility in personal genomes to prioritize GWAS signals.
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Package details |
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| Author | Shuang Song, Nayang Shan, Geng Wang, Xiting Yan, Jun S Liu, Lin Hou. |
| Maintainer | Shuang Song <song-s19@mails.tsinghua.edu.cn> |
| License | GPL-3 |
| Version | 1.2.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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