International Conference on Systems Genetics and Network Biology (ICSGNB - 27)

This track focuses on the latest methodologies and technologies in systems genetics, emphasizing their applications in understanding complex genetic traits. Researchers will present innovative approaches to dissect genetic interactions and their implications for phenotype expression.

This session explores the intricate regulatory interactions that govern gene expression within biological networks. Presentations will highlight the role of network topology in understanding regulatory circuits and their impact on cellular functions.

This track addresses the integration of multi-omics data for comprehensive pathway analysis. Participants will discuss computational strategies for elucidating biological pathways and their relevance to disease mechanisms.

This session aims to bridge functional genomics with phenotypic outcomes, showcasing studies that map genetic variations to observable traits. Researchers will share insights on gene modules and their contributions to phenotypic diversity.

This track emphasizes computational methodologies for modeling molecular networks, focusing on algorithm development and data analysis techniques. Presenters will demonstrate how these models can predict interactions and functional outcomes in biological systems.

This session investigates the construction and analysis of gene co-expression networks to uncover functional relationships among genes. Researchers will present case studies illustrating the utility of co-expression networks in various biological contexts.