Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite

T. Hashimoto, M. J.L. de Hoon, S. M. Grimmond, C. O. Daub, Y. Hayashizaki, G. J. Faulkner
2009 Bioinformatics  
Multi-mapping sequence tags are a significant impediment to short-read sequencing platforms. These tags are routinely omitted from further analysis, leading to experimental bias and reduced coverage. Here, we present MuMRescueLite, a low-resource requirement version of the MuMRescue software that has been used by several next generation sequencing projects to probabilistically reincorporate multi-mapping tags into mapped short read data. Availability and implementation: MuMRescueLite is written
more » ... in Python; executables and documentation are available from
doi:10.1093/bioinformatics/btp438 pmid:19605420 fatcat:vsbkipdjzndcnhpywxh5qzap4e