Now in its eleventh year, the RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges is one of the premier annual meetings in the fields of regulatory genomics, systems biology, and network visualization. This multidisciplinary conference brings together both computational and experimental researchers from across the world to discuss recent discoveries about genomic and molecular regulatory networks as well as innovative, integrative methods for developing a systems-level understanding of biological activity.
The conference will be held at NYU Langone Health, in New York City, New York. Program activities will begin on Saturday, December 8 and conclude on Monday, December 10, 2018.
Special Session of Single Cell Analysis
Regulatory and Systems Genomics 2018 will include an abstract submissions track for a Special Session of Single Cell Analysis. We welcome submissions on computational and experimental advances in single cell analysis at the transcriptomic, epigenomic and proteomic levels as well as emerging technologies that can resolve the spatial organization of cells in complex tissues while providing molecular data at the single cell level. Applications of single cell methods to important biomedical questions – for example in cancer biology, immunology, or development – are also encouraged. The session will include presentations from keynote speakers as well as talks from selected abstracts. This special session is sponsored by the Research Center for Cancer Systems Immunology at Memorial Sloan Kettering Cancer Center, an NCI-funded Cancer Systems Biology Consortium (CSBC) Center.
This conference is designed to present the latest findings about regulatory and systems genomics, foster discussion about current research directions, and establish new collaborations that will advance the development of a systems-level understanding of gene regulation. Some possible topics include:
Network visualization and analysis
Regulatory motifs and modules
Epigenomics and chromatin state
Co-transcriptional, post-transcriptional, and translational regulation
Signal transduction networks
Genetic, molecular, and phenotypic variation and human disease
Cellular signatures of biological responses and disease states
Mathematical modeling and simulation of biological systems
Methods for systematic validation of high-throughput biological predictions
Machine learning methods for systems biology
Translational systems biology
Leesburg , United States