Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

PHRAPL: Phylogeographic Inference Using Approximate Likelihoods.

Systematic biology - 1 Nov 2017

Jackson Nathon D, Morales Ariadna E, Carstens Bryan C, O'Meara Brian C

Abstract excerpt

The demographic history of most species is complex, with multiple evolutionary processes combining to shape the observed patterns of genetic diversity. To infer this history, the discipline of phylogeography has (to date) used models that simplify the historical demography of the focal organism, for example by assuming or ignoring ongoing gene flow between populations or by requiring a priori specification of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biological Evolution
Share to Computer Simulation
Share to Genetic Variation

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Likelihood Functions

Share to Models, Biological

Share to Phylogeny

Share to Phylogeography

Source

Identifiers

PMID: 28204782
DOI: 10.1093/sysbio/syx001

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

PHRAPL: Phylogeographic Inference Using Approximate Likelihoods.PMID 28204782Read ↗

A likelihood-based framework for demographic inference from genealogical treesSemantic proximity Read ↗

Ancestral population genomics: the coalescent hidden Markov model approach.Semantic proximity Read ↗

PopHist: inferring population history from the spectrum of allele frequencies.Semantic proximity Read ↗

Inference of population history by coupling exploratory and model-driven phylogeographic analyses.Semantic proximity Read ↗

Exact computation of coalescent likelihood for panmictic and subdivided populations under the infinite sites model.Semantic proximity Read ↗

PoMo: An Allele Frequency-Based Approach for Species Tree Estimation.Semantic proximity Read ↗

The burgeoning field of statistical phylogeography.Semantic proximity Read ↗

Evaluation of methods for estimating coalescence times using ancestral recombination graphs.Semantic proximity Read ↗

Objective choice of phylogeographic models.Semantic proximity Read ↗

Robust estimates of divergence times and selection with a poisson random field model: a case study of comparative phylogeographic data.Semantic proximity Read ↗

Efficient Bayesian Phylogenetics under the Infinite Sites ModelSemantic proximity Read ↗

Efficient Bayesian phylogenetics under the infinite sites model.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.