"Big Data in 3 Dimensions: Integrating omics data with systems and structural biology”

Abstract: Standardized, multi-omics datasets are becoming increasingly available, but major impediments prevent the realization of impact of big data resources. Modern machine learning methods and structural systems biology approaches bring the promise of leveraging large-scale omics data to make accurate predictions. Here, I present recent efforts on the development of in silico tools and cross-disciplinary training resources, which are paramount for further progress in big data science. Applications of these tools enable the comprehensive exploration of gene variation, protein modification and protein folding processes.