Literature DB >> 29566129

accuMUlate: a mutation caller designed for mutation accumulation experiments.

David J Winter1,2, Steven H Wu1,3, Abigail A Howell1,4, Ricardo B R Azevedo5, Rebecca A Zufall5, Reed A Cartwright1,4.   

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.

Mesh:

Year:  2018        PMID: 29566129      PMCID: PMC6061804          DOI: 10.1093/bioinformatics/bty165

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

Review 1.  Genetic drift, selection and the evolution of the mutation rate.

Authors:  Michael Lynch; Matthew S Ackerman; Jean-Francois Gout; Hongan Long; Way Sung; W Kelley Thomas; Patricia L Foster
Journal:  Nat Rev Genet       Date:  2016-10-14       Impact factor: 53.242

2.  Precise estimates of mutation rate and spectrum in yeast.

Authors:  Yuan O Zhu; Mark L Siegal; David W Hall; Dmitri A Petrov
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-20       Impact factor: 11.205

Review 3.  Toward better understanding of artifacts in variant calling from high-coverage samples.

Authors:  Heng Li
Journal:  Bioinformatics       Date:  2014-06-27       Impact factor: 6.937

4.  SMAL: A Resource of Spontaneous Mutation Accumulation Lines.

Authors:  Wen Wei; Lu-Wen Ning; Yuan-Nong Ye; Shi-Jie Li; Hui-Qi Zhou; Jian Huang; Feng-Biao Guo
Journal:  Mol Biol Evol       Date:  2014-02-14       Impact factor: 16.240

5.  The Fitness Effects of Spontaneous Mutations Nearly Unseen by Selection in a Bacterium with Multiple Chromosomes.

Authors:  Marcus M Dillon; Vaughn S Cooper
Journal:  Genetics       Date:  2016-09-26       Impact factor: 4.562

6.  Spontaneous epigenetic variation in the Arabidopsis thaliana methylome.

Authors:  Claude Becker; Jörg Hagmann; Jonas Müller; Daniel Koenig; Oliver Stegle; Karsten Borgwardt; Detlef Weigel
Journal:  Nature       Date:  2011-09-20       Impact factor: 49.962

7.  Spontaneous mutational effects on reproductive traits of arabidopsis thaliana.

Authors:  R G Shaw; D L Byers; E Darmo
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

8.  The rate and molecular spectrum of spontaneous mutations in Arabidopsis thaliana.

Authors:  Stephan Ossowski; Korbinian Schneeberger; José Ignacio Lucas-Lledó; Norman Warthmann; Richard M Clark; Ruth G Shaw; Detlef Weigel; Michael Lynch
Journal:  Science       Date:  2010-01-01       Impact factor: 47.728

9.  Tempo and mode of genome evolution in a 50,000-generation experiment.

Authors:  Olivier Tenaillon; Jeffrey E Barrick; Noah Ribeck; Daniel E Deatherage; Jeffrey L Blanchard; Aurko Dasgupta; Gabriel C Wu; Sébastien Wielgoss; Stéphane Cruveiller; Claudine Médigue; Dominique Schneider; Richard E Lenski
Journal:  Nature       Date:  2016-08-01       Impact factor: 49.962

10.  Estimating error models for whole genome sequencing using mixtures of Dirichlet-multinomial distributions.

Authors:  Steven H Wu; Rachel S Schwartz; David J Winter; Donald F Conrad; Reed A Cartwright
Journal:  Bioinformatics       Date:  2017-08-01       Impact factor: 6.937

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  4 in total

1.  Loss of Heterozygosity and Base Mutation Rates Vary Among Saccharomyces cerevisiae Hybrid Strains.

Authors:  Ajith V Pankajam; Suman Dash; Asma Saifudeen; Abhishek Dutta; Koodali T Nishant
Journal:  G3 (Bethesda)       Date:  2020-09-02       Impact factor: 3.154

2.  Spontaneous rate of clonal single nucleotide mutations in Daphnia galeata.

Authors:  Markus Pfenninger; Halina Binde Doria; Jana Nickel; Anne Thielsch; Klaus Schwenk; Mathilde Cordellier
Journal:  PLoS One       Date:  2022-04-01       Impact factor: 3.240

3.  Pedigree-based and phylogenetic methods support surprising patterns of mutation rate and spectrum in the gray mouse lemur.

Authors:  C Ryan Campbell; George P Tiley; Jelmer W Poelstra; Kelsie E Hunnicutt; Peter A Larsen; Hui-Jie Lee; Jeffrey L Thorne; Mario Dos Reis; Anne D Yoder
Journal:  Heredity (Edinb)       Date:  2021-07-16       Impact factor: 3.832

4.  Temperature dependence of spontaneous mutation rates.

Authors:  Ann-Marie Waldvogel; Markus Pfenninger
Journal:  Genome Res       Date:  2021-07-23       Impact factor: 9.043

  4 in total

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