ArticleG3 (Bethesda, Md.)2026
Phyling: phylogenetic inference from annotated genomes.
Article in G3 (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Single-Thallus Genomics of Ejectosporus trisporus, an Unculturable Stonefly Gut Fungal Symbiont.Environmental microbiology · 2026Article
- Description ofInternational journal of systematic and evolutionary microbiology · 2026Article
- Description ofbioRxiv : the preprint server for biology · 2025Article
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2 authors.
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Abstract
Phyling is a fast, scalable, and user-friendly tool supporting phylogenomic reconstruction of species phylogenies directly from protein-encoded genomic data. It identifies orthologous genes by searching protein sequences against a curated set of hidden Markov model profiles, consisting of single-copy orthologs derived from the BUSCO database. To optimize the speed of the final inference, Phyling includes a module to filter aligned orthologs based on their phylogenetic informativeness. Finally, Phyling provides a companion wrapper for automated species tree construction using either consensus or concatenation strategies. Phyling efficiently resolves large phylogenies by optimizing memory usage and data processing. Its checkpoint system enables users to incrementally add or remove samples without repeating the entire search process. For analyses involving closely related taxa, Phyling supports the use of nucleotide coding sequences, which may capture phylogenetic signals missed by protein sequences. The benchmark results show that Phyling substantially runs faster than OrthoFinder, a reciprocal best hit based method, while achieving equal or better accuracy.
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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.