title: Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite.
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.
  
  
  METHODS
  MuMRescueLite is written in Python; executables and documentation are available from http://genome.gsc.riken.jp/osc/english/software/.
authors: Omics Science Center, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.
authors: Takehiro
authors: T
authors: Hashimoto
authors: Michiel J L
authors: MJ
authors: de Hoon
authors: Sean M
authors: SM
authors: Grimmond
authors: Carsten O
authors: CO
authors: Daub
authors: Yoshihide
authors: Y
authors: Hayashizaki
authors: Geoffrey J
authors: GJ
authors: Faulkner
mesh_terms: D019295:Computational Biology / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software