Glycosylation is one of the most abundant post-translational modifications (PTM) and the primary cause of microheterogeneity in proteins (glycoforms). It consists of the addition of a sugar moiety on the surface of a protein, and it has been suggested that over 50% of mammalian cellular proteins are typically glycosylated. Despite its importance, glycobiology is still lacking concrete bioinformatics support which, in the last two decades, has boosted other major 'omics' like proteomics, transcriptomics and genomics. Additionally, the inherent complexity of carbohydrates and the use of many orthogonal experimental techniques to elucidate a structure have slowed down the annotation of novel glycans leaving glycobiology fragmented internally. This thesis aims at the creation of a collection of integrative, explorative and knowledge-based tools to reconstitute the puzzle of biological evidence produced by different glycomics experiments and, at the same time, fill the gap with other 'omics'.