ExpressionData - A public resource of high quality curated datasets representing gene expression across anatomy, development and experimental conditions.
ExpressionData - A public resource of high quality curated datasets representing gene expression across anatomy, development and experimental conditions.
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DOI：
10.1186/1756-0381-7-18
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发表时间：
2014
期刊：
影响因子：
4.5
通讯作者：
Gruissem W
中科院分区：
文献类型：
--
作者：
Zimmermann P;Bleuler S;Laule O;Martin F;Ivanov NV;Campanoni P;Oishi K;Lugon-Moulin N;Wyss M;Hruz T;Gruissem W
参考数据集通常用于比较、解释或验证实验数据和分析方法。在基因表达领域，已经发表了几个参考数据集。通常，它们由在单个实验室中进行的单个基线或加标实验组成，并代表一组特定的条件。在这里，我们描述了一种新类型的标准化数据集代表基因表达的空间和时间维度。它们来自于整合来自大量全球标准化和质量控制的公共实验的表达数据。表达数据通过解剖学部分或发育阶段聚集，以产生每个类别的代表性转录组。例如，我们创建了一个全基因组表达数据集，代表了35种组织类型的FDA组织面板。拟议的数据集是为人类和几种模式生物创建的，可在http://www.expressiondata.org上公开获取。
Reference datasets are often used to compare, interpret or validate experimental data and analytical methods. In the field of gene expression, several reference datasets have been published. Typically, they consist of individual baseline or spike-in experiments carried out in a single laboratory and representing a particular set of conditions. Here, we describe a new type of standardized datasets representative for the spatial and temporal dimensions of gene expression. They result from integrating expression data from a large number of globally normalized and quality controlled public experiments. Expression data is aggregated by anatomical part or stage of development to yield a representative transcriptome for each category. For example, we created a genome-wide expression dataset representing the FDA tissue panel across 35 tissue types. The proposed datasets were created for human and several model organisms and are publicly available at http://www.expressiondata.org.
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来自毒理基因组学研究基因基因表达水平的变化来源研究动物跨多个实验室。
影响因子：
4.4
作者：
Boedigheimer MJ;Wolfinger RD;Bass MB;Bushel PR;Chou JW;Cooper M;Corton JC;Fostel J;Hester S;Lee JS;Liu F;Liu J;Qian HR;Quackenbush J;Pettit S;Thompson KL
通讯作者：
Thompson KL
影响因子：
30.8
作者：
Weinstein, John N.;Collisson, Eric A.;Mills, Gordon B.;Shaw, Kenna R. Mills;Ozenberger, Brad A.;Ellrott, Kyle;Shmulevich, Ilya;Sander, Chris;Stuart, Joshua M.
通讯作者：
Stuart, Joshua M.
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A
大豆 ERF 基因家族的系统发育、基因结构和表达模式 (Glycine max L.)
影响因子：
6.9
作者：
Zhang, Gaiyun;Chen, Ming;Chen, Xueping;Xu, Zhaoshi;Guan, Shan;Li, Lian-Cheng;Li, Aili;Guo, Jiaming;Mao, Long;Ma, Youzhi
通讯作者：
Ma, Youzhi
影响因子：
5.8
作者：
Zhu, Qianqian;Miecznikowski, Jeffrey C.;Halfon, Marc S.
通讯作者：
Halfon, Marc S.