In partnership with Van Andel Research Institute, we are developing a simple, fast, and intuitive analysis platform that allows end users quickly create meaningful insights from glycan array data using a variety of statistical, visualization, and quality control (QC) tools. The goal is to help researchers to turn the data into action fast. The development of this platform is supported by an NIH SBIR grant.
MotifFinder automatically analyzes glycan array data and create a versatile set of glycan motifs which decipher structural codes representing protein-glycan interactions. It has many features that are not found in any other glycan-array analysis program. It uses a novel framework for representing lectin specificity as a family of motifs organized as primary motifs and fine specificities; each motif is defined using a new syntax that permits precise specifications of the complexity and tolerance of a pattern; the algorithm employs regression trees with simultaneous motif optimization to find the family of motifs that accurately describe binding specificity; it can jointly analyze multiple datasets to increase the completeness and accuracy of the output; and the output formats are usable as standalone results or as inputs to subsequent analyses. In current version of the software, it includes new functions such as mouse-over glycan structure view, Kd output, enabling searching of non-glycan elements (e.g., glycopeptides), and downstream bioinformatics mining.