Evidence map›Paper›PMID 29562307›Full record

ArticleSystematic biology2018

HyDe: A Python Package for Genome-Scale Hybridization Detection.

Paul D Blischak, Julia Chifman, Andrea D Wolfe, Laura S Kubatko

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 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

  1. Article
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  10. Resolving the Taxonomic Enigma ofEcology and evolution · 2026
    Article
  11. Phylogenetic systematics of Juncaceae.American journal of botany · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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  18. Review
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  20. Article

44 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.

Paul D BlischakDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43210, USA.
Julia ChifmanDepartment of Mathematics and Statistics, American University, Washington, DC 20016, USA.
Andrea D WolfeDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43210, USA.
Laura S KubatkoDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43210, USA.

Funding

Training Program in Cancer BiologyT32CA079448 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRIDEL, STEVEN J. · 2000 to 2014
$6.5M
NCI NIH HHS T32 CA079448
6 · The paper itself

Abstract

The analysis of hybridization and gene flow among closely related taxa is a common goal for researchers studying speciation and phylogeography. Many methods for hybridization detection use simple site pattern frequencies from observed genomic data and compare them to null models that predict an absence of gene flow. The theory underlying the detection of hybridization using these site pattern probabilities exploits the relationship between the coalescent process for gene trees within population trees and the process of mutation along the branches of the gene trees. For certain models, site patterns are predicted to occur in equal frequency (i.e., their difference is 0), producing a set of functions called phylogenetic invariants. In this article, we introduce HyDe, a software package for detecting hybridization using phylogenetic invariants arising under the coalescent model with hybridization. HyDe is written in Python and can be used interactively or through the command line using pre-packaged scripts. We demonstrate the use of HyDe on simulated data, as well as on two empirical data sets from the literature. We focus in particular on identifying individual hybrids within population samples and on distinguishing between hybrid speciation and gene flow. HyDe is freely available as an open source Python package under the GNU GPL v3 on both GitHub (https://github.com/pblischak/HyDe) and the Python Package Index (PyPI: https://pypi.python.org/pypi/phyde).

Indexed as

Gene FlowGenetic SpeciationHybridization, GeneticComputational BiologySoftware

Identifiers

PMID29562307
PMCPMC6454532

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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.