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

Comparing analysis methods for mutation-accumulation data: a simulation study.

Genetics - 1 Jun 2003

García-Dorado Aurora, Gallego Araceli

Abstract excerpt

We simulated single-generation data for a fitness trait in mutation-accumulation (MA) experiments, and we compared three methods of analysis. Bateman-Mukai (BM) and maximum likelihood (ML) need information on both the MA lines and control lines, while minimum distance (MD) can be applied with or without the control. Both MD and ML assume gamma-distributed mutational effects. ML estimates of the rate of...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Gene Deletion
Share to Genetic Variation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Likelihood Functions

Share to Models, Genetic

Share to Mutation

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 12807799
DOI: 10.1093/genetics/164.2.807
PMCID: PMC1462587

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparing analysis methods for mutation-accumulation data: a simulation study.PMID 12807799Read ↗

On the experimental design and data analysis of mutation accumulation experiments.Semantic proximity Read ↗

On the three methods for estimating deleterious genomic mutation parameters.Semantic proximity Read ↗

Multigeneration maximum-likelihood analysis applied to mutation-accumulation experiments in Caenorhabditis elegans.Semantic proximity Read ↗

Inference of genome-wide mutation rates and distributions of mutation effects for fitness traits: a simulation study.Semantic proximity Read ↗

Mutation accumulation in real branches: fitness assays for genomic deleterious mutation rate and effect in large-statured plants.Semantic proximity Read ↗

On the rate and linearity of viability declines in Drosophila mutation-accumulation experiments: genomic mutation rates and synergistic epistasis revisited.Semantic proximity Read ↗

Evidence for elevated mutation rates in low-quality genotypes.Semantic proximity Read ↗

Spontaneous mutations in diploid Saccharomyces cerevisiae: more beneficial than expected.Semantic proximity Read ↗

New estimates of the rates and effects of mildly deleterious mutation in Drosophila melanogaster.Semantic proximity Read ↗

Effect of Salt Stress on Mutation and Genetic Architecture for Fitness Components in Saccharomyces cerevisiae.Semantic proximity Read ↗

Spontaneous mutation parameters for Arabidopsis thaliana measured in the wild.Semantic proximity Read ↗

Accelerating Mutational Load Is Not Due to Synergistic Epistasis or Mutator Alleles in Mutation Accumulation Lines of Yeast.Semantic proximity Read ↗

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