Bioinformatic Tools for Interpretation of Glycan Array Data

项目总结/摘要 迫切需要一种分析工具来挖掘聚糖阵列数据，以便准确地进行统计学研究 细胞表面聚糖和聚糖结合蛋白之间的相互作用。在这个SBIR计划中，我们建议 开发用于分析和解释聚糖阵列数据的软件和硬件集成系统。的 现有的聚糖阵列数据挖掘工具的问题是它们仅给出用于简化的结合信息。 聚糖的亚结构，而不是复杂的结合决定簇，它们缺乏一致的信号定量， 自动化的方式。为了解决这个问题，Z Biotech，LLC（聚糖阵列提供商）正在与Brian博士合作 Haab的实验室在货车Andel研究所（软件提供商），以开发和改进一个强大的聚糖阵列数据 挖掘工具（Motiflets）和聚糖阵列图像分析程序（Signalets）。Z Biotech发明了一种 具有在固体表面上以多价形式展示聚糖的优点的稳健聚糖阵列平台。的 Z Biotech提供的聚糖阵列具有上级性能，符合高质量微阵列的标准， 适用于生成聚糖阵列数据，用于评估分析工具，如基序分析和信号分析。 此外，Haab研究小组一直在领导聚糖阵列分析工具的开发。他们 第一个在2010年发表了聚糖阵列数据分析算法，随后做出了贡献。 许多创新。在第一阶段的项目中，我们开发了Motifs，用于完全自动化分析，包括 识别聚糖阵列数据中细微模式和特征的新方法。此外，我们还开发了 用于聚糖阵列图像自动图像分析的信号分析仪。该软件程序解决了 阵列图像分析中的先前瓶颈和限制。它建立在独特的算法上， 对于免疫荧光和微阵列图像的自动化分析功能良好。目标是 第二阶段的项目是通过对聚糖阵列的测试来增强这两个聚糖阵列挖掘工具的能力 用扩展的聚糖库。所得到的具有硬件和软件的聚糖阵列分析系统将 对糖生物学研究、聚糖相关生物标志物表征和新药开发具有广泛影响。 针对聚糖的开发。

Project Summary / Abstract There is an urgent need of analysis tools for mining glycan array data in order to accurately and statistically study the interactions between cell-surface glycans and glycan-binding proteins. In this SBIR program we propose to develop a software and hardware integrated system for analysis and interpretation of glycan array data. The problem with existing glycan array data mining tools is that they give binding information only for simplistic substructures of glycans and not complex binding determinants, and they lack consistent signal quantification in an automated way. To solve this problem, Z Biotech, LLC (a glycan array provider) is teaming with Dr. Brian Haab’s lab at the Van Andel Institute (a software provider) to develop and improve a robust glycan-array data mining tool (MotifFinder) and a glycan-array image analysis program (SignalFinder). Z Biotech has invented a robust glycan array platform having the advantage to display glycans on solid surfaces in a multivalent form. The glycan arrays Z Biotech provides have superior performance with the criteria for a high-quality microarray, which is suitable for generation of glycan array data for evaluation of analysis tools like MotifFinder and SignalFinder. In addition, the Haab research group has been leading developments in glycan-array analysis tools. They were the first to publish an algorithm for the analysis of glycan-array data in 2010, and subsequently have contributed many innovations. In the Phase I project, we developed MotifFinder for fully automating the analysis, including new approaches for identifying subtle patterns and features in the glycan array data. In addition, we developed SignalFinder for the automated image analysis of glycan-array images. This software program addresses the previous bottlenecks and limitations in the array image analysis. It is built on the unique algorithm that has functioned well for the automated analysis of immunofluorescence and microarray images. The goal for the Phase II project is to enhance the ability of the two glycan-array mining tools through testing on glycan arrays with the expanded glycan library. The resultant glycan-array analysis system with hardware and software will have a broad impact on glycobiology research, glycan-related biomarker characterization, and new drug development targeting glycans.