The 2013 IEEE Scientific Visualization Contest focused on developmental neuroscience related to the mouse brain. In developmental neuroscience, researchers examine spatiotemporal patterns of gene expression to understand how brain structures evolve and vary over an organism's life. The Allen Developing Mouse Brain Atlas project generated expression data for thousands of genes with high spatial resolution over multiple developmental stages. These data have become an invaluable resource for neuroscientists and developmental biologists exploring interesting spatial and temporal patterns of gene expression. Given the extremely large amounts of data, it's desirable to apply visualization techniques to their access, analysis, and interpretation. The proposed visual-analytics system enables clear, insightful observations of the gene expression patterns for such data, focusing on structural patterns that vary across gene expression levels over six developmental stages. Users can explore patterns through specialized data-driven representations that capture emerging structure-function associations in the developing mouse brain. The system also provides an effective characterization of certain processes in the developing brain that could lead to further analysis.

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2013 年 IEEE 科学可视化竞赛获胜者：观察发育中的小鼠大脑中的基因组学和表型模式

2013 年 IEEE 科学可视化竞赛的重点是与小鼠大脑相关的发育神经科学。在发育神经科学中，研究人员检查基因表达的时空模式，以了解大脑结构如何在生物体的一生中进化和变化。Allen 开发小鼠大脑图谱项目生成了数千个基因在多个发育阶段具有高空间分辨率的表达数据。这些数据已成为神经科学家和发育生物学家探索有趣的基因表达时空模式的宝贵资源。鉴于数据量非常大，最好将可视化技术应用于它们的访问、分析和解释。所提议的视觉分析系统能够实现清晰、对此类数据的基因表达模式的深入观察，重点关注在六个发育阶段中基因表达水平不同的结构模式。用户可以通过专门的数据驱动表示来探索模式，这些表示捕获正在发育的小鼠大脑中新兴的结构-功能关联。该系统还提供了大脑发育中某些过程的有效表征，可以导致进一步的分析。