Over the past decade, improvements in technology and methods have enabled rapid and relatively inexpensive generation of high-quality RNA-seq datasets. These datasets have been used to characterize gene expression for several yeast species and have provided systems-level insights for basic biology, biotechnology and medicine. Herein, we discuss new techniques that have emerged and existing techniques that enable analysts to extract information from multifactorial yeast RNA-seq datasets. Ultimately, this minireview seeks to inspire readers to query datasets, whether previously published or freshly obtained, with creative and diverse methods to discover and support novel hypotheses.

中文翻译：

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从RNA序列数据中提取新的假设和发现。

在过去的十年中，技术和方法的改进使得能够快速且相对廉价地生成高质量RNA-seq数据集。这些数据集已用于表征几种酵母菌的基因表达，并为基础生物学，生物技术和医学提供了系统级的见解。本文中，我们讨论了已经出现的新技术以及使分析人员能够从多因素酵母RNA-seq数据集中提取信息的现有技术。最终，这份小型综述旨在激发读者以新颖多样的方法来发现和支持新颖的假设，以查询数据集（无论是先前发布的还是新近获得的）。