kdMining and kaPlotting

We developed a method to directly optimize the efficiency of assessing association constants following multi-GBP concentration glycan array analysis. To this end, we developed programs that automatically analyze raw array data (kdMining) to generate output graphics (kaPlotting) following array analysis at multiple doses. These automatic programing methods reduced processing time from 32.8 hours to 1.67 minutes. Taken together, these results demonstrate an effective approach to glycan array analysis that provides improved detail and efficiency when compared to previous methods.本研究开发了一种可直接优化多GBP浓度糖芯片（glycan array）分析中结合常数评估效率的方法。为此，我们开发了两款自动化程序：kdMining可自动解析原始芯片数据，kaPlotting则可在完成多剂量芯片分析后生成输出可视化图形。上述自动化编程方案将处理时长从32.8小时大幅缩短至1.67分钟。综上，本研究结果证实，相较于既往方法，该糖芯片分析策略可同时提升分析细节与运行效率，是一种行之有效的高效分析手段。