DReichLab / DReichLab/AdmixTools
Using sliding window to run admixtools to detect unusual regions
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- Dominant language
- C
- Stars
- 235
- Forks
- 76
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
There are many examples using sliding windows to detect introgression regions using D statistic. So, I wander that, could I run qp3Pop to detect introgression regions with sliding windows? If so, does qp3Pop have more power to detect introgression regions compared to D_statistic?
Thanks!
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the qp3Pop entry point and the existing sliding-window examples referenced in the issue. Determine whether qp3Pop supports sliding-window analysis and define how its power should be compared with the D statistic; done requires a documented, evidence-based answer or an agreed implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- c
- Domain
- bioinformatics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100