The rapid development of high-throughput sequencing technologies has generated massive valuable brain transcriptome atlases, providing great opportunities for systematically investigating gene expression characteristics across various brain regions throughout a series of developmental stages. Recent studies have revealed that the transcriptional architecture is the key to interpreting the molecular mechanisms of brain complexity. However, our knowledge of brain transcriptional characteristics remains very limited. With the immense efforts to generate high-quality brain transcriptome atlases, new computational approaches to analyze these high-dimensional multivariate data are greatly needed. In this review, we summarize some public resources for brain transcriptome atlases and discuss the general computational pipelines that are commonly used in this field, which would aid in making new discoveries in brain development and disorders.

中文翻译：

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计算生物学在解码脑转录组中的应用。

高通量测序技术的飞速发展已经产生了大量有价值的大脑转录组图谱，这为在一系列发展阶段中系统研究跨各个大脑区域的基因表达特征提供了巨大机会。最近的研究表明，转录结构是解释大脑复杂性的分子机制的关键。但是，我们对脑转录特性的了解仍然非常有限。随着产生高质量脑转录组图谱的巨大努力，迫切需要新的计算方法来分析这些高维多元数据。在这篇评论中