kdMining and kaPlotting

Published: 1 July 2022| Version 2 | DOI: 10.17632/hrbtct6ryd.2
Alex Ho, Shang-Chuen Wu, Connie Arthur, Sean Stowell


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.


Steps to reproduce

Please watch the demo video for instructions.


Brigham and Women's Hospital


Automatic Programming, Microarray, Big Data, Data Analysis, Glycobiology