Literature DB >> 19605420

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

Takehiro Hashimoto1, Michiel J L de Hoon, Sean M Grimmond, Carsten O Daub, Yoshihide Hayashizaki, Geoffrey J Faulkner.   

Abstract

UNLABELLED: 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/.

Mesh:

Year:  2009        PMID: 19605420     DOI: 10.1093/bioinformatics/btp438

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  17 in total

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5.  Next generation quantitative genetics in plants.

Authors:  José M Jiménez-Gómez
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6.  X-MATE: a flexible system for mapping short read data.

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7.  Assessing the translational landscape of myogenic differentiation by ribosome profiling.

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8.  NanoCAGE analysis of the mouse olfactory epithelium identifies the expression of vomeronasal receptors and of proximal LINE elements.

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Journal:  Front Cell Neurosci       Date:  2014-02-18       Impact factor: 5.505

9.  Streaming fragment assignment for real-time analysis of sequencing experiments.

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10.  Extensive profiling of the expressions of tRNAs and tRNA-derived fragments (tRFs) reveals the complexities of tRNA and tRF populations in plants.

Authors:  Xuan Ma; Chunyan Liu; Xiaocong Kong; Jing Liu; Siju Zhang; Shanshan Liang; Weijiang Luan; Xiaofeng Cao
Journal:  Sci China Life Sci       Date:  2021-02-08       Impact factor: 6.038

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