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Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite
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
doi:10.1093/bioinformatics/btp438
pmid:19605420
fatcat:vsbkipdjzndcnhpywxh5qzap4e