Literature DB >> 24766403

Mudi, a web tool for identifying mutations by bioinformatics analysis of whole-genome sequence.

Naoko Iida1, Fumiaki Yamao, Yasukazu Nakamura, Tetsushi Iida.   

Abstract

In forward genetics, identification of mutations is a time-consuming and laborious process. Modern whole-genome sequencing, coupled with bioinformatics analysis, has enabled fast and cost-effective mutation identification. However, for many experimental researchers, bioinformatics analysis is still a difficult aspect of whole-genome sequencing. To address this issue, we developed a browser-accessible and easy-to-use bioinformatics tool called Mutation discovery (Mudi; http://naoii.nig.ac.jp/mudi_top.html), which enables 'one-click' identification of causative mutations from whole-genome sequence data. In this study, we optimized Mudi for pooled-linkage analysis aimed at identifying mutants in yeast model systems. After raw sequencing data are uploaded, Mudi performs sequential analysis, including mapping, detection of variant alleles, filtering and removal of background polymorphisms, prioritization, and annotation. In an example study of suppressor mutants of ptr1-1 in the fission yeast Schizosaccharomyces pombe, pooled-linkage analysis with Mudi identified mip1(+) , a component of Target of Rapamycin Complex 1 (TORC1), as a novel component involved in RNA interference (RNAi)-related cell-cycle control. The accessibility of Mudi will accelerate systematic mutation analysis in forward genetics.
© 2014 The Authors Genes to Cells © 2014 by the Molecular Biology Society of Japan and Wiley Publishing Asia Pty Ltd.

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Year:  2014        PMID: 24766403     DOI: 10.1111/gtc.12151

Source DB:  PubMed          Journal:  Genes Cells        ISSN: 1356-9597            Impact factor:   1.891


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