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Accounting for Gene Tree Estimation Error in Species Tree Reconstruction: Quantity Versus Quality

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Species-tree recovery under the multispecies coalescent has a concrete trade-off: let F be the probability a lineage coalesces inside the short branch. Methods that use topology frequency (R / most frequent) or pairwise averages (STEAC (average)) require about 1/F^2 genes; using the minimum coalescence time (GLASS (min)) needs ≈1/F genes if true times are known but with sequence noise demands per-gene length L ~ 1/F^2. A quantile-based QUEST estimator interpolates and achieves G ≈ F^-2 / sqrt(L), which implies total sequencing effort G·L scales like sqrt(L) and favors many short loci.

AI-written summary · about

  1. 0:00Introduction
  2. 5:50Short branches
  3. 8:51Theory
  4. 10:06Other Methods
  5. 13:05Convergence Rates
  6. 16:18Analysis
  7. 18:17Model
  8. 19:24Quantity vs Quality
  9. 20:40Oldest Method
  10. 24:24Parsimony
  11. 25:57Steak Prime
  12. 30:43Glass
  13. 31:20Minimum
  14. 35:32Which Quantel
  15. 39:42Optimal Tradeoff
  16. 40:03Summary
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