Journal Article

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

Takehiro Hashimoto, Michiel J.L. de Hoon, Sean M. Grimmond, Carsten O. Daub, Yoshihide Hayashizaki and Geoffrey J. Faulkner

in Bioinformatics

Volume 25, issue 19, pages 2613-2614
Published in print October 2009 | ISSN: 1367-4803
Published online July 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp438
Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite

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Summary: 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/.

Contact: geoff.faulkner@roslin.ed.ac.uk

Journal Article.  1506 words. 

Subjects: Bioinformatics and Computational Biology

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