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

Recovering population parameters from a single gene genealogy: an unbiased estimator of the growth rate.

Molecular biology and evolution - 1 May 2011

Maruvka Yosef E, Shnerb Nadav M, Bar-Yam Yaneer, Wakeley John

Abstract excerpt

We show that the number of lineages ancestral to a sample, as a function of time back into the past, which we call the number of lineages as a function of time (NLFT), is a nearly deterministic property of large-sample gene genealogies. We obtain analytic expressions for the NLFT for both constant-sized and exponentially growing populations. The low level of stochastic variation associated with the NLFT of a...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bayes Theorem
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Mitochondrial

Share to Likelihood Functions

Share to Population Dynamics

Share to Population Growth

Share to Stochastic Processes

Source

Identifiers

PMID: 21172828
DOI: 10.1093/molbev/msq331

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Recovering population parameters from a single gene genealogy: an unbiased estimator of the growth rate.PMID 21172828Read ↗

Inferring Very Recent Population Growth Rate from Population-Scale Sequencing Data: Using a Large-Sample Coalescent Estimator.Semantic proximity Read ↗

Accurate and flexible estimation of effective population size historySemantic proximity Read ↗

Asymptotic distributions of coalescence times and ancestral lineage numbers for populations with temporally varying size.Semantic proximity Read ↗

Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation dataSemantic proximity Read ↗

New explicit expressions for relative frequencies of single-nucleotide polymorphisms with application to statistical inference on population growth.Semantic proximity Read ↗

Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data.Semantic proximity Read ↗

A method to correct for the effects of purifying selection on genealogical inference.Semantic proximity Read ↗

On the use of star-shaped genealogies in inference of coalescence times.Semantic proximity Read ↗

Mobile elements reveal small population size in the ancient ancestors of Homo sapiens.Semantic proximity Read ↗

Maximum-likelihood estimation of demographic parameters using the frequency spectrum of unlinked single-nucleotide polymorphisms.Semantic proximity Read ↗

Statistical guidelines for detecting past population shifts using ancient DNA.Semantic proximity Read ↗

Accuracy of Demographic Inferences from the Site Frequency Spectrum: The Case of the Yoruba Population.Semantic proximity Read ↗

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