Lectins and glycan-binding antibodies are powerful tools in biological research, provided detailed information is available about their glycan-binding specificities. Glycan-arrays, in combination with bioinformatics tools to mine the data, offer the ability to obtain such information. This review focuses on the bioinformatics tools and resources that are available for the analysis of glycan-array data. The tools are enabling new insights into protein-glycan interactions and enhancing the value of glycan-binding proteins in research. Display omitted Highlights •Lectins and glycan-binding antibodies are valuable as probe of glycans.•Advanced bioinformatics tools enable the mining of glycan-array data.•New insights into protein-glycan interactions have value in biological research. Proteins that bind carbohydrate structures can serve as tools to quantify or localize specific glycans in biological specimens. Such proteins, including lectins and glycan-binding antibodies, are particularly valuable if accurate information is available about the glycans that a protein binds. Glycan arrays have been transformational for uncovering rich information about the nuances and complexities of glycan-binding specificity. A challenge, however, has been the analysis of the data. Because protein-glycan interactions are so complex, simplistic modes of analyzing the data and describing glycan-binding specificities have proven inadequate in many cases. This review surveys the methods for handling high-content data on protein-glycan interactions. We contrast the approaches that have been demonstrated and provide an overview of the resources that are available. We also give an outlook on the promising experimental technologies for generating new insights into protein-glycan interactions, as well as a perspective on the limitations that currently face the field.