kdMining and kaPlotting
Published: 1 July 2022| Version 2 | DOI: 10.17632/hrbtct6ryd.2
Contributors:
Alex Ho, Shang-Chuen Wu, Connie Arthur, Sean StowellDescription
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.
Files
Steps to reproduce
Please watch the demo video for instructions.
Institutions
Brigham and Women's Hospital
Categories
Automatic Programming, Microarray, Big Data, Data Analysis, Glycobiology