accuMUlate: a mutation caller designed for mutation accumulation experiments

David J. Winter, Steven H. Wu, Abigail A. Howell, Ricardo B.R. Azevedo, Rebecca A. Zufall, Reed A. Cartwright

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)2659-2660
Number of pages2
JournalBioinformatics (Oxford, England)
Volume34
Issue number15
DOIs
StatePublished - Aug 1 2018

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint Dive into the research topics of 'accuMUlate: a mutation caller designed for mutation accumulation experiments'. Together they form a unique fingerprint.

  • Cite this