ArticleGigaByte (Hong Kong, China)2025
CompactTree: a lightweight header-only C++ library and Python wrapper for ultra-large phylogenetics.
Article in GigaByte (Hong Kong, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Phylo-rs: an extensible phylogenetic analysis library in rust.BMC bioinformatics · 2025Article
- CompactTree: a lightweight header-only C++ library and Python wrapper for ultra-large phylogenetics.GigaByte (Hong Kong, China) · 2025Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study of viral and bacterial species requires the ability to load and traverse ultra-large phylogenies with tens of millions of tips, but existing tree libraries struggle to scale to these sizes. We introduce CompactTree, a lightweight header-only C++ library with a user-friendly Python wrapper for traversing ultra-large trees that can be easily incorporated into other tools. We show that CompactTree is orders of magnitude faster and requires orders of magnitude less memory than existing tree packages. CompactTree is freely accessible as an open source project: https://github.com/niemasd/CompactTree.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.