Combined Analysis of Multiple Glycan-Array Datasets: New Explorations of Protein-Glycan Interactions.

ABSTRACT: Glycan arrays are indispensable for learning about the specificities of glycan-binding proteins. Despite the abundance of available data, the current analysis methods do not have the ability to interpret and use the variety of data types and to integrate information across datasets. Here, we evaluated whether a novel, automated algorithm for glycan-array analysis could meet that need. We developed a regression-tree algorithm with simultaneous motif optimization and packaged it in software called MotifFinder. We applied the software to analyze data from eight different glycan-array platforms with widely divergent characteristics and observed an accurate analysis of each dataset. We then evaluated the feasibility and value of the combined analyses of multiple datasets. In an integrated analy

SUBMITTER: Klamer Z 

PROVIDER: S-EPMC8862541 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature