Bioinformatics. 2009 Oct 1;25(19):2613-4. Epub 2009 Jul 15.

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

Hashimoto T, de Hoon MJ, Grimmond SM, Daub CO, Hayashizaki Y, Faulkner GJ.

Source

Omics Science Center, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.

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/.

PMID:: 19605420; [PubMed - indexed for MEDLINE]

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