As "-omics" data technology advances and becomes more readily accessible to address complex biological questions, increasing amount of cross "-omics" dataset is inspiring the use and development of integrative bioinformatics analysis. In the current review, we discuss multiple options for integrating data across "-omes" for a range of study designs. We discuss established methods for such analysis and point the reader to in-depth discussions for the various topics. Additionally, we discuss challenges and new directions in the area.