Tech Development Core

抽象技术开发组件 基因表达数据库项目(GXD)的技术开发部分交付给用户 由计算和计算组件生成的集成表达数据，通过直观和 万能的网络导航范例。用户可以通过多种方式(通过以下方式)优化其表情数据搜索 小鼠样本的特性和/或所研究的基因的特性)，以及他们的搜索摘要 结果具有指向各种相关数据(图像、参考资料、样本等)的链接。GXD提供了一种 整合来自经典表达研究的表达数据(RNA原位杂交和 免疫组织化学、Northern印迹、Western印迹和RT-PCR实验)高通量 RNA-Seq(HT)数据，使得用户的搜索返回来自经典和HT研究的数据。这是一种罕见的 在表达资源之间的特征，它允许用户在这些检测类型之间无缝交换， 培养比较和确认。技术开发部分有四个主要部分(目标) 它可以细分为提供以下功能的界面组件：(1)提供新的方式 通过小鼠发育解剖学搜索和查看表达结果。这些包括对基因的搜索 在遵循分化路径的组织中表达，在高度分辨的细胞类型中表达的基因。(2) 增加了新的搜索和显示功能，用于定量表达分析、比较和剖析。这 将使用户可以随时访问在定义的样本状态之间显示改变的表达模式的基因组 (例如，在野生型和特定突变体之间)。(3)提供复杂表情的图形化视图 数据，如GXD的组织x阶段和组织x基因矩阵，以及交互式RNA-Seq热图，以帮助 用户解释扩展的、集成的表达结果。(4)拓展基因表达分析能力 在诸如基因功能、表型和疾病关联等重要生物学概念的背景下， 和生物源参数(如组织、分期和基因)，并添加关键的共表达 结合GXD数据(基因)透视生物途径和蛋白质相互作用数据 必须在同一细胞中共表达，以便它们的基因产物相互作用)。(五)增强用户能力 比较小鼠和其他重要发育物种的表达，如斑马鱼、青蛙和 鸡肉。最后，(6)允许用户访问他们自己的基因列表的GXD数据，并使用他们的GXD 在其他资源上搜索结果。所有建议的接口目标都将通过以下方式制定和管理 功能和性能的平衡，以确保高效的GXD用户体验。

Abstract - TECHNOLOGY DEVELOPMENT COMPONENT The Technology Development Component of the Gene Expression Database project (GXD) delivers to users the integrated expression data generated by Curation and Computation Components, via an intuitive and versatile web navigation paradigm. Users can refine their expression data searches in many ways (by properties of the mouse sample and/or by properties of the gene studied), and the summary of their search results has links to a variety of associated data (images, references, specimens, etc.). GXD provides an integrated combination of expression data from classical expression studies (RNA in situ hybridization and immunohistochemistry assays, northern blot, western blot and RT-PCR experiments) with high throughput RNA-Seq (HT) data, such that a user's search returns data from both classical and HT studies. This is a rare feature among expression resources, and it allows users to seamlessly exchange between these assay types, fostering comparison and confirmation. The Technology Development Component has four major parts (Aims) that can be sub-divided into interface components that deliver the following features: (1) Providing new ways to search and view expression results by mouse developmental anatomy. These include searches for genes expressed in tissues that follow differentiation paths and genes expressed in highly resolved cell types. (2) Adding new search and display functions for quantitative expression analyses, comparisons and profiling. This will give users ready access to gene sets that show altered expression patterns between defined sample states (between wild type and specific mutants, for example). (3) Providing graphical views of complex expression data, such as GXD's tissue x stage and tissue x gene matrices, and interactive RNA-Seq heat maps, to help users interpret expansive, integrated expression results. (4) Expanding the ability to analyze gene expression in the context of important biological concepts, such as gene function, phenotype and disease associations, and biological source parameters (like, tissue, stage and genotype), and adding a critical co-expression perspective to biological pathway and protein-protein interaction data by integrating with GXD data (genes must be co-expressed in the same cell, for their gene products to interact). (5) Enhancing users’ ability to compare expression between mouse and other important developmental species, such as zebra fish, frog and chicken. And lastly, (6) Allowing users to access GXD data for their own lists of genes and to use their GXD search results at other resources. All interface Aims proposed will be developed and administered with a balance of function and performance to ensure a productive GXD user experience.