Journal article
Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite
T Hashimoto, MJL de Hoon, SM Grimmond, CO Daub, Y Hayashizaki, GJ Faulkner
Bioinformatics | Published : 2009
Abstract
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. © The Author 2009. Published by Oxford University Press. All rights reserved.
Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
RIKEN Omics Science Center and the Genome Network Project from the Ministry of Education, Culture, Sports, Science and Technology, Japan; Functional RNA Research Program (supported by the RIKEN Frontier Research System, to Y.H.); National Health and Medical Research Council (grant 455857 to S.M.G and grant 456140); Australian Stem Cell Centre (to G.J.F).