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

Efficient simulation and likelihood methods for non-neutral multi-allele models.

Journal of computational biology : a journal of computational molecular cell biology - 1 Jun 2012

Joyce Paul, Genz Alan, Buzbas Erkan Ozge

Abstract excerpt

Throughout the 1980s, Simon Tavaré made numerous significant contributions to population genetics theory. As genetic data, in particular DNA sequence, became more readily available, a need to connect population-genetic models to data became the central issue. The seminal work of Griffiths and Tav...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computer Simulation
Share to Gene Frequency

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetics, Population

Share to Likelihood Functions

Share to Models, Genetic

Share to Selection, Genetic

Share to Sequence Analysis, DNA

Source

Open in PubMed Open full text

Identifiers

PMID: 22697240
DOI: 10.1089/cmb.2012.0033
PMCID: PMC3375650

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22697240-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Efficient simulation and likelihood methods for non-neutral multi-allele models.PMID 22697240Read ↗

Likelihoods and simulation methods for a class of nonneutral population genetics models.Semantic proximity Read ↗

An overview of population genetic data simulation.Semantic proximity Read ↗

Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data.Semantic proximity Read ↗

A simple method for computing exact probabilities of mutation numbers.Semantic proximity Read ↗

Ascertainment correction for a population tree via a pruning algorithm for likelihood computation.Semantic proximity Read ↗

Perfect simulation from nonneutral population genetic models: variable population size and population subdivision.Semantic proximity Read ↗

Statistical tests of the coalescent model based on the haplotype frequency distribution and the number of segregating sites.Semantic proximity Read ↗

Junk ain't what junk does: neutral alleles in a selected context.Semantic proximity Read ↗

Recombination and the properties of Tajima's D in the context of approximate-likelihood calculation.Semantic proximity Read ↗

A two-stage pruning algorithm for likelihood computation for a population tree.Semantic proximity Read ↗

Microsatellite null alleles and estimation of population differentiation.Semantic proximity Read ↗

Statistical inference of selection and divergence from a time-dependent Poisson random field model.Semantic proximity Read ↗

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