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微生物油脂是未来燃料和食品用油的重要潜在资源。近年来,随着系统生物学技术的快速发展,从全局角度理解产油微生物生理代谢及脂质积累的特征成为研究热点。组学技术作为系统生物学研究的重要工具被广泛用于揭示产油微生物脂质高效生产的机制研究中,这为产油微生物理性遗传改造和发酵过程控制提供了基础。文中对组学技术在产油微生物中的应用概况进行了综述,介绍了产油微生物组学分析常用的样品前处理及数据分析方法,综述了包括基因组、转录组、蛋白(修饰)组及代谢(脂质)组等在内的多种组学技术,以及组学数据基础上的数学模型在揭示产油微生物脂质高效生产机制中的研究,并对未来发展和应用进行了展望。 相似文献
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limma powers differential expression analyses for RNA-sequencing and microarray studies 总被引:1,自引:0,他引:1
Matthew E. Ritchie Belinda Phipson Di Wu Yifang Hu Charity W. Law Wei Shi Gordon K. Smyth 《Nucleic acids research》2015,43(7):e47
limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described. 相似文献