ArticleBioinformatics (Oxford, England)2018
accuMUlate: a mutation caller designed for mutation accumulation experiments.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Divergent Thermal Reaction Norms of the Spontaneous Mutation Rate Among Populations of Chironomus riparius.Molecular ecology · 2026Article
- Genes shielded, repeats exposed: mutation bias in the midge Chironomus riparius.G3 (Bethesda, Md.) · 2026Article
- Developmental speed and chronological time exert opposing effects on the spontaneous mutation rate inEvolution letters · 2026Article
- What can we infer about mutation calling by using time-series mutation accumulation data and a Bayesian Mutation Finder?Ecology and evolution · 2024Article
- Parthenogenomics: Insights on mutation rates and nucleotide diversity in parthenogeneticEcology and evolution · 2024Article
- Germline mutation rate is elevated in young and old parents inEvolution letters · 2023Article
- Article
- Temperature dependence of spontaneous mutation rates.Genome research · 2021Article
- Pedigree-based and phylogenetic methods support surprising patterns of mutation rate and spectrum in the gray mouse lemur.Heredity · 2021Article
- Loss of Heterozygosity and Base Mutation Rates Vary AmongG3 (Bethesda, Md.) · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Summary: Mutation accumulation (MA) is the most widely used method for directly studying the effects of mutation. By sequencing whole genomes from MA lines, researchers can directly study the rate and molecular spectra of spontaneous mutations and use these results to understand how mutation contributes to biological processes. At present there is no software designed specifically for identifying mutations from MA lines. Here we describe accuMUlate, a probabilistic mutation caller that reflects the design of a typical MA experiment while being flexible enough to accommodate properties unique to any particular experiment. Availability and implementation accuMUlate is available from https://github.com/dwinter/accuMUlate. Supplementary information: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.