Evidence map›Paper›PMID 41885611›Full record

ArticleG3 (Bethesda, Md.)2026

Phyling: phylogenetic inference from annotated genomes.

Cheng-Hung Tsai, Jason E Stajich

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Description ofInternational journal of systematic and evolutionary microbiology · 2026
    Article
  3. Description ofbioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Cheng-Hung TsaiDepartment of Microbiology & Plant Pathology, University of California-Riverside, Riverside, CA 92521, United States.ORCID 0000-0003-3419-2146
Jason E StajichDepartment of Microbiology & Plant Pathology, University of California-Riverside, Riverside, CA 92521, United States.ORCID 0000-0002-7591-0020

Funding

Evolution of Aspergillus fumigatus virulenceR01AI130128 · NIAID · DARTMOUTH COLLEGE · PI Robert Andrew Cramer · 2017 to 2026
$4.5M
Evolved Heterogeneity Contributes to Chronic Fungal Lung InfectionsR01AI127548 · NIAID · DARTMOUTH COLLEGE · PI HOGAN, DEBORAH A · 2017 to 2025
$3.9M
Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
NIAID NIH HHS R01 AI127548NIAID NIH HHS R01 AI130128NIH HHS S10 OD016290
6 · The paper itself

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.

Indexed as

Computational BiologyGenomeGenomicsMolecular Sequence AnnotationPhylogenySoftwareAlgorithmsHidden Markov ModelsMarkov Chainsbacteriafungihidden Markov modelsorthologyPEQG2026phylogeneticsphylogenomicspythonsoftware

Identifiers

PMID41885611
PMCPMC13148406

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.