ArticlePeerJ2021
treedata.table: a wrapper for data.table that enables fast manipulation of large phylogenetic trees matched to data.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed.
- Pruning the Tree: Comparing OTUs and ASVs in High-Throughput Sequencing of 5S-IGS Nuclear Ribosomal DNA in Phylogenetic Studies.Ecology and evolution · 2025Article
- Machine learning-based analysis identifies glucose metabolism-related genes ADPGK as potential diagnostic biomarkers for clear cell renal cell carcinoma.Frontiers in oncology · 2025Article
- Construction and validation of a clinical prediction model for deep vein thrombosis in patients with digestive system tumors based on a machine learning.American journal of cancer research · 2024Article
- Role of NF-κB pathway in kidney renal clear cell carcinoma and its potential therapeutic implications.Aging · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The number of terminals in phylogenetic trees has significantly increased over the last decade. This trend reflects recent advances in next-generation sequencing, accessibility of public data repositories, and the increased use of phylogenies in many fields. Despite R being central to the analysis of phylogenetic data, manipulation of phylogenetic comparative datasets remains slow, complex, and poorly reproducible. Here, we describe the first R package extending the functionality and syntax of data.table to explicitly deal with phylogenetic comparative datasets. treedata.table significantly increases speed and reproducibility during the data manipulation steps involved in the phylogenetic comparative workflow in R. The latest release of treedata.table is currently available through CRAN (https://cran.r-project.org/web/packages/treedata.table/). Additional documentation can be accessed through rOpenSci (https://ropensci.github.io/treedata.table/).
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Registered trials
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