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首页> 外文期刊>Plant physiology >Matapax: An online high-throughput genome-wide association study pipeline
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Matapax: An online high-throughput genome-wide association study pipeline

机译:Matapax:在线高通量全基因组关联研究流程

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摘要

High-throughput sequencing and genotyping methods are dramatically increasing the number of observable genetic intraspecies differences that can be exploited as genetic markers. In addition, automated phenotyping platforms and "omics" profiling technologies further enlarge the set of quantifiable macroscopic and molecular traits at an ever-increasing pace. Combined, both lines of technological advances create unparalleled opportunities to identify candidate gene regions and, ideally, even single genes responsible for observed variations in a particular trait via association studies. However, as of yet, this new potential is not sufficiently matched by enabling software solutions to easily exploit this wealth of genotype/ phenotype information. We have developed Matapax, a Web-based platform to address this need. Initially, we built the infrastructure to support association studies in Arabidopsis (Arabidopsis thaliana) based on several genotyping efforts covering up to 1,375 Arabidopsis accessions. Based on the user-supplied trait information, associated single-nucleotide polymorphism markers and single-nucleotide polymorphism-harboring or -neighboring genes are identified using both the GAPIT and EMMA libraries developed for R. Additional interrogation is facilitated by displaying candidate regions and genes in a genome browser and by providing relevant annotation information. In the future, we plan to broaden the scope of organisms to other plant species as more genotype/phenotype information becomes available. Matapax is freely available at http:// matapax.mpimp-golm.mpg.de and can be accessed using any internet browser.
机译:高通量测序和基因分型方法极大地增加了可作为遗传标记利用的可观察到的种内差异的数量。此外,自动化的表型分析平台和“组学”分析技术以越来越快的速度进一步扩大了可量化的宏观和分子特征的范围。结合起来,这两项技术进步为识别候选基因区域以及理想情况下甚至通过关联研究鉴定出负责特定性状的变异的单个基因创造了无与伦比的机会。然而,到目前为止,通过使软件解决方案能够轻松利用这些丰富的基因型/表型信息,还无法充分满足这种新潜力。我们已经开发了Matapax(基于Web的平台)来满足这一需求。最初,我们基于覆盖多达1,375个拟南芥种质的基因分型工作,建立了支持拟南芥(Arabidopsis thaliana)关联研究的基础设施。根据用户提供的性状信息,使用为R开发的GAPIT和EMMA库,识别相关的单核苷酸多态性标记和携带或邻近单核苷酸多态性的基因。通过在候选序列中显示候选区域和基因,可以进一步进行询问基因组浏览器并通过提供相关注释信息。将来,随着更多的基因型/表型信息的获得,我们计划将生物的范围扩大到其他植物物种。 Matapax可从http://matapax.mpimp-golm.mpg.de免费获得,并可使用任何互联网浏览器进行访问。

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