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. 2009 Oct 1;25(19):2613-4.
doi: 10.1093/bioinformatics/btp438. Epub 2009 Jul 15.

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

Takehiro Hashimoto  1 , Michiel J L de Hoon, Sean M Grimmond, Carsten O Daub, Yoshihide Hayashizaki, Geoffrey J Faulkner
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Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite

Takehiro Hashimoto et al. Bioinformatics. .

Abstract

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 in Python; executables and documentation are available from http://genome.gsc.riken.jp/osc/english/software/.

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