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GGoutlieR: Identify Individuals with Unusual Geo-Genetic Patterns
Identify and visualize individuals with unusual association patterns of genetics and geography using the approach of Chang and Schmid (2023) <doi:10.1101/2023.04.06.535838>. It detects potential outliers that violate the isolation-by-distance assumption using the K-nearest neighbor approach. You can obtain a table of outliers with statistics and visualize unusual geo-genetic patterns on a geographical map. This is useful for landscape genomics studies to discover individuals with unusual geography and genetics associations from a large biological sample.
Getting started
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Package details |
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| Author | Che-Wei Chang [aut, cre] (<https://orcid.org/0000-0001-6704-3732>), Karl Schmid [ths] (<https://orcid.org/0000-0001-5129-895X>) |
| Maintainer | Che-Wei Chang <cheweichang92@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
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