Evidence map›Paper›PMID 29514307›Full record

ArticleSystematic biology2018

Inferring Phylogenetic Networks Using PhyloNet.

Dingqiao Wen, Yun Yu, Jiafan Zhu, Luay Nakhleh

Abstract read
In one paragraph

Article in Systematic biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers.

0numbers the graph read from it
0cells of the map it votes in
143citing 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

143 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Phylogenetic systematics of Juncaceae.American journal of botany · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Sketch, capture and layout phylogenies.PLoS computational biology · 2025
    Article
  16. Article
  17. Review
  18. When islands collide: Divergence predicts outcomes of secondary contact during the fusion of Sulawesi's paleo-archipelago.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Review

83 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dingqiao WenComputer Science.
Yun YuComputer Science.
Jiafan ZhuComputer Science.
Luay NakhlehComputer Science.

Funding

Evolutionary Analysis of Bacterial Genomes: High-Throughput Computational ToolsR01LM009494 · NLM · RICE UNIVERSITY · PI NAKHLEH, LUAY · 2008 to 2012
$1.3M
NLM NIH HHS R01 LM009494
6 · The paper itself

Abstract

PhyloNet was released in 2008 as a software package for representing and analyzing phylogenetic networks. At the time of its release, the main functionalities in PhyloNet consisted of measures for comparing network topologies and a single heuristic for reconciling gene trees with a species tree. Since then, PhyloNet has grown significantly. The software package now includes a wide array of methods for inferring phylogenetic networks from data sets of unlinked loci while accounting for both reticulation (e.g., hybridization) and incomplete lineage sorting. In particular, PhyloNet now allows for maximum parsimony, maximum likelihood, and Bayesian inference of phylogenetic networks from gene tree estimates. Furthermore, Bayesian inference directly from sequence data (sequence alignments or biallelic markers) is implemented. Maximum parsimony is based on an extension of the "minimizing deep coalescences" criterion to phylogenetic networks, whereas maximum likelihood and Bayesian inference are based on the multispecies network coalescent. All methods allow for multiple individuals per species. As computing the likelihood of a phylogenetic network is computationally hard, PhyloNet allows for evaluation and inference of networks using a pseudolikelihood measure. PhyloNet summarizes the results of the various analyzes and generates phylogenetic networks in the extended Newick format that is readily viewable by existing visualization software.

Indexed as

Evolution, MolecularPhylogenySoftwareBayes TheoremHybridization, GeneticSequence Alignment

Identifiers

PMID29514307
PMCPMC6005058

What OpenQuestion holds

Textmetadata
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.