International Conference on Gene Expression and Regulatory Networks (ICGERN - 26)

This track will explore the latest innovations in RNA sequencing technologies and their applications in gene expression analysis. Discussions will focus on methodological advancements and their impact on understanding transcriptomic landscapes.

This session will delve into the roles of transcription factors in regulating gene expression and their interactions within regulatory networks. Participants will examine case studies highlighting the functional implications of transcription factor activity.

This track will focus on the mechanisms of epigenetic regulation, including DNA methylation and histone modification, and their effects on gene expression. Researchers will present findings that link epigenetic changes to phenotypic outcomes.

This session will investigate the roles of enhancers and silencers in the modulation of gene expression. Presentations will cover recent discoveries regarding their mechanisms of action and their significance in developmental biology.

This track will address the use of computational models to understand complex gene regulatory networks. Participants will discuss methodologies for network construction and analysis, as well as their applications in predicting biological outcomes.

This session will highlight the integration of functional genomics approaches to elucidate gene interaction networks. Researchers will share insights on how these networks contribute to cellular functions and disease mechanisms.

This track will focus on the methodologies and tools used for differential expression analysis in genomic studies. Participants will discuss challenges and solutions in identifying significant gene expression changes across conditions.

This session will explore the intricate relationships between signaling pathways and gene regulation. Presentations will highlight how extracellular signals influence transcriptional responses through various regulatory mechanisms.

This track will examine co-expression analysis as a tool for identifying gene modules and their functional relationships. Researchers will present case studies demonstrating the utility of co-expression data in understanding biological processes.

This session will focus on the analysis of promoter regions and their role in transcriptional control. Discussions will include techniques for characterizing promoter activity and their implications for gene expression regulation.

This track will cover the latest tools and techniques in regulatory genomics, emphasizing their application in studying gene regulation. Participants will discuss advancements in high-throughput technologies and their impact on regulatory research.