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accuMUlate: a mutation caller designed for mutation accumulation experiments
Author(s) -
David J. Winter,
Steven Wu,
Abigail A. Howell,
Ricardo B. R. Azevedo,
Rebecca A. Zufall,
Reed A. Cartwright
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty165
Subject(s) - mutation , genetics , mutation testing , computer science , mutation accumulation , mutation rate , computational biology , biology , gene
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.

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