Integrative Analysis of Emerging Biological Data Types

Accurate mathematical models of biological cells during health and disease are essential in understanding biology, advancing precision medicine and treating disease. Emerging technologies, such as RNA and DNA sequencing give clinical and basic research laboratories great power to quantify tens of thousands of biological molecules and generate highly detailed biological maps at different molecular, spatial and temporal resolutions. Integrating these diverse data may provide a comprehensive multi-layer view of a biological system that cannot be obtained by considering each dataset individually. However, currently, biological insight is hindered by the inherent complexity of the data and paucity of methods to integrate these data. By gathering mathematical, statistical and computational experts in the field of genomic data integration, pioneer solutions for data integration problems will be discussed during this workshop. This white paper describes cutting-edge mathematical, statistical and computational methods to extract reliable information from big biological data.

Built With

• docker
• github
• r