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

BAPS 2: enhanced possibilities for the analysis of genetic population structure.

Bioinformatics (Oxford, England) - 12 Oct 2004

Corander Jukka, Waldmann Patrik, Marttinen Pekka, Sillanpää Mikko J

Abstract excerpt

UNLABELLED: Bayesian statistical methods based on simulation techniques have recently been shown to provide powerful tools for the analysis of genetic population structure. We have previously developed a Markov chain Monte Carlo (MCMC) algorithm for characterizing genetically divergent groups bas...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Genetic Testing
Share to Genetics, Population

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Markov Chains

Share to Models, Statistical

Share to Monte Carlo Method

Share to Software

Share to User-Computer Interface

Source

Identifiers

PMID: 15073024
DOI: 10.1093/bioinformatics/bth250

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026. Prepared record publication-15073024-2026-09-01.1. Manifest publication-graph-cohort-2026-09-01.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

BAPS 2: enhanced possibilities for the analysis of genetic population structure.PMID 15073024Read ↗

Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.Semantic proximity Read ↗

Bayesian identification of admixture events using multilocus molecular markers.Semantic proximity Read ↗

Estimating genealogies from linked marker data: a Bayesian approach.Semantic proximity Read ↗

Statistical Association Mapping of Population-Structured Genetic DataSemantic proximity Read ↗

MODELER4SIMCOAL2: a user-friendly, extensible modeler of demography and linked loci for coalescent simulations.Semantic proximity Read ↗

LAMARC 2.0: maximum likelihood and Bayesian estimation of population parameters.Semantic proximity Read ↗

SIMCOAL 2.0: a program to simulate genomic diversity over large recombining regions in a subdivided population with a complex history.Semantic proximity Read ↗

DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.Semantic proximity Read ↗

A comparison of strategies for Markov chain Monte Carlo computation in quantitative genetics.Semantic proximity Read ↗

Correcting for ascertainment bias in the inference of population structure.Semantic proximity Read ↗

Estimating genealogies from unlinked marker data: a Bayesian approach.Semantic proximity Read ↗

Inference of structure in subdivided populations at low levels of genetic differentiation--the correlated allele frequencies model revisited.Semantic proximity Read ↗

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