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Updated: Jan 18, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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Published on: October 24, 2025

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HIPSTR:在TreeAnnotator X中最高独立的后部子树重建

Guy Baele1, Luiz M Carvalho2, Marius Brusselmans1

  • 1Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, 3000, Belgium.

Bioinformatics (Oxford, England)
|September 9, 2025
PubMed
概括

一种名为最高独立后部子树重建 (HIPSTR) 的新方法提供了比常用的最大分类可信度 (MCC) 树更准确的家族遗传总结树. 在TreeAnnotator X软件中,HIPSTR还提供了更高的计算效率.

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