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Genevestigator Transcriptome Meta-Analysis and Biomarker Search Using Rice and Barley Gene Expression Databases

机译:使用水稻和大麦基因表达数据库进行基因研究者转录组元分析和生物标志物搜索

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摘要

The wide-spread use of microarray technologies to study plant transcriptomes has Ied to important discoveries and to an accumulation of profiling data covering a wide range of different tissues,developmental stages,perturbations,and genotypes.Querying a large number of microarray experiments can provide insights that cannot be gained by analyzing single experiments.However,such a meta-analysis poses.significant challenges with respect to data comparability and normalization,systematic sample annotation,and analysis tools.Genevestigator addresses these issues using a large curated expression database and a set of specifically developed analysis tools that are accessible over the internet.This combination has already proven to be usefuIin the area of plant research based on a Iarge set of Arabidopsis data (Grennan,2006).Here,we present the release of the Genevestigator rice and barley gene expression databases that contain quailty-controlled and welI annotated microarray experiments using ontologies.The databases currently comprise experiments from pathology,plant nutrition.abiotic stress,hormone treatment,genotype,and spatial or temporal analysis,but are expected to cover a broad variety of research areas as more experimentaI data become available.The transcriptome meta-analysis of the modeI species rice and barley iS expected to deliver results that can be used for functional genomics and biotechnoIogical applications in cereals.
机译:微阵列技术广泛用于植物转录组的研究已经发现了重要的发现,并积累了涵盖各种不同组织,发育阶段,摄动和基因型的分析数据。查询大量的微阵列实验可以提供见解但是,这种荟萃分析在数据可比性和标准化,系统化的样品标注和分析工具方面带来了重大挑战。Genevestigator使用大型策展的表达数据库和一组可解决的问题解决了这些问题。专门开发的分析工具,可以通过互联网访问。基于大量的拟南芥数据,该组合已被证明可用于植物研究(Grennan,2006)。在此,我们介绍了Genevestigator大米和大麦的释放情况。基因表达数据库,其中包含质量控制和带注释的微阵列实验该数据库目前包括病理学,植物营养,非生物胁迫,激素治疗,基因型以及时空分析等实验,但是随着越来越多的实验数据的出现,有望涵盖广泛的研究领域。水稻和大麦等现代种的分析有望提供可用于谷物的功能基因组学和生物技术应用的结果。

著录项

  • 来源
    《分子植物(英文版)》 |2008年第5期|851-857|共7页
  • 作者单位

    Department of Biology,ETH Zurich,Universitaetstrasse 2,8092 Zurich,Switzerland;

    Department of Biology,ETH Zurich,Universitaetstrasse 2,8092 Zurich,Switzerland;

    Department of Biology,ETH Zurich,Universitaetstrasse 2,8092 Zurich,Switzerland;

    Institute of Theoretical Computer Science,ETH Zurich,Universitaetsstrasse 6,8092 Zurich,Switzerland;

    Department of Biology,ETH Zurich,Universitaetstrasse 2,8092 Zurich,Switzerland;

    Department of Biology,ETH Zurich,Universitaetstrasse 2,8092 Zurich,Switzerland;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 植物学;
  • 关键词

  • 入库时间 2022-08-19 03:37:53
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