Parallel session

(Multimodal) data integration and spatial organization

Lamoraalzaal

Speakers in this session will focus on the power of multimodal data integration and the use of large scale data sets in providing a comprehensive view of biological systems and understanding their development. Integration of data sets and other laboratory techniques could lead to better understanding of fundamental processes such as differentiation and disease progression. In the future these methods could even provide potential novel personalized medicine approaches. Topics may include uncovering complex molecular networks, data complexity, the integration of spatial and molecular data, and integration challenges.

 

11:3512:05Invited speaker: Miao-Ping Chien (EMC)
Seeing is sequencing: linking phenotypes- or regions-of-interest to sequencing profiles
12:0512:17Mikhail Magnitov (NKI): Mapping functional non-coding variation in individual human genomes
12:1712:30Ridvan Cetin (Erasmus MC): scRIPT: A Streamlined Single-Cell Lineage Tracing Platform
12:3012:42Evert Bosdriesz (VU Amsterdam): ISFaN: Normalizing   single-cell protein data without inducing spurious correlations
12:4212:55Thor van Heesch (UvA): MDNA: a software module for DNA structure generation and analysis