Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite.
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- Record sourced from PubMed, PMID 19605420.
- Also identified by DOI 10.1093/bioinformatics/btp438.
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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. MuMRescueLite is written in Python; executables and documentation are available from http://genome.gsc.riken.jp/osc/english/software/.
Medical subject headings
- Computational Biology
- Sequence Analysis, DNA
- Software