Collaborative Research: A mathematical framework for scalable species tree estimation via — NSF Award to University of Wisconsin-M
High-quality genome data are being produced at a pace that is changing evolutionary biology. These data can clarify how species are related, but they also bring a hard problem: evolution is not uniform across the genome. This project develops new mathematics and algorithms for estimating species histories from whole-ge
| Award title | Collaborative Research: A mathematical framework for scalable species tree estimation via |
|---|---|
| Award ID | 2601545 |
| Awardee | University of Wisconsin-Madison |
| City | MADISON |
| State | WI |
| Amount obligated | $327,547 |
| Principal investigator | Sebastien Roch |
| Program | MATHEMATICAL BIOLOGY |
| Start date | 09/01/2026 |
| Abstract | High-quality genome data are being produced at a pace that is changing evolutionary biology. These data can clarify how species are related, but they also bring a hard problem: evolution is not uniform across the genome. This project develops new mathematics and algorithms for estimating species histories from whole-genome data while allowing a separate history for each region. The approach builds on a recently proposed, fast, and accurate method that uses simple scores computed from patterns in |
| Source | NSF Awards |
$799/mo
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