A Bayesian framework for inferring the influence of sequence context on single base modifications
Guy Ling, Danielle Miller, Rasmus Nielsen, Adi Stern
This paper develops a Bayesian method to detect sequence context effects on mutation rates using population sequencing data, finding significant enrichment in deamination contexts in polioviruses.
Molecular Biology and Evolution · Oct 24, 2019Peer-reviewedBioinformatics