Fast and Accurate Estimates of Divergence Times from Big Data

Volume: 34, Issue: 1, Pages: 45 - 50
Published: Nov 11, 2016
Abstract
Ongoing advances in sequencing technology have led to an explosive expansion in the molecular data available for building increasingly larger and more comprehensive timetrees. However, Bayesian relaxed-clock approaches frequently used to infer these timetrees impose a large computational burden and discourage critical assessment of the robustness of inferred times to model assumptions, influence of calibrations, and selection of optimal data...
Paper Details
Title
Fast and Accurate Estimates of Divergence Times from Big Data
Published Date
Nov 11, 2016
Volume
34
Issue
1
Pages
45 - 50
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