SibArc is a simple tool that allows inferences about complex genetic architecture to be made from sibling-trait data alone.
Package Downloads
| Operating System | Link | Notes |
|---|---|---|
| Linux 64-bit | v1.0.2 | Updated 6-18-2024 |
| Mac 64-bit | v1.0.2 | Updated 7-31-2024 |
| Windows 64-bit | v1.0.1 | Updated 4-24-2024 |
Overview
- SibArc is written in Python.
- To run SibArc using the supplied sample data please see our Quick Start Tutorial..
- Following the Quick Start, please read our manuscript, to learn more about the theory behind sibArc.
Citation: Our Manuscript is published Elife
Please cite our paper:
Tade Souaiaia, Hei Man Wu, Clive Hoggart, Paul O’Reilly. 2023 Sibling Similarity Can Reveal Key Insights Into Genetic Architecture. eLife12:RP87522
Contact
For questions about the methodology, this website, or our manuscript please contact Dr Tade Souaiaia Dr Clive Hoggart, or Dr Paul O'Reilly. For source code and coding issues please visit our github page.
Acknowledgements
We would like to thank Shai Carmi for helpful feedback.