[BC]2 features inspiring keynote lectures by international experts as well as presentations of the latest scientific results and methods in the field.
Session description: Machine learning techniques are revolutionising the analysis of large amounts of biological data from medical imaging, discovering new biomarkers to predicting protein structures or the uncovering of evolutionary processes. This session aims at not only presenting and discussing current techniques and applications of AI, machine learning and related techniques, but is also open to new computational methods with the potential of changing future bioinformatics workstreams.
Topic includes but is not limited to: artificial intelligence, medical and biological data science, machine learning methods and applications, computer vision, medical imaging
Session description: Clinical implementation of the promises of precision medicine in oncology requires in depth molecular characterization of tumors and robust data analysis tools. To face this challenge, new experimental and computational technologies are being developed to characterize the genomic, transcriptomic, cellular and spatial heterogeneity of tumors. This session aims at covering the latest technological and computational developments in this fast-evolving field.
Topic includes but is not limited to: precision medicine, novel methods for cancer data analysis, multi-omics data integration in the context of cancer, single-cell data analysis methods for cancer
Session description: Comparative genomic analyses between species, but also within a population of the same species, can illuminate how species evolve, interact with each other and adapt to environmental cues and changes. This session is open to research projects from a wide range of topics: from the development of software and methods to analyse population structures and dynamics, to the phylogenetic inference or the characterization of species’ evolutionary features. To highlight the diversity of life on our planet, research findings from model organisms as well as non-model organisms and populations are welcome.
Topic includes but is not limited to: evo-devo, molecular and experimental evolution, phylogenetics, phylogenomics, comparative genomics, population structure and dynamics, adaptation, individual-based models, coexistence, cooperation and conflict, multi-species communities, community stability and diversity, microbes
Session description: Disease-causing agents such as bacteria and viruses are constantly evolving to adapt to and escape the host’s immune system. Though recent years have substantially increased our understanding on how pathogens evolve, may be treated and how our body’s immune system functions, many questions remain open. This session aims to not only highlight the recents advances in fields related to Immunology and Infectious disease, but also welcomes research on the molecular mechanisms of Pathogen Evolution and Phylogenetics.
Topic includes but is not limited to: immunity, immunogenetics, infectious diseases, phylogenetics, coevolution, host genomics, pathogen genomics, systems immunology
Session description: Genome-wide association studies (GWAS) have identified tens of thousands of common genetic variants, associated with complex traits in “healthy” and “sick” individuals. These genetic variants can differ between human sex, populations or ancestries, and connecting genetic variants with specific phenotypic information is not straightforward. This session thus aims to integrate, one one hand, the latest (multi-omics) solutions helping us to understand the genetic architecture of human populations, with scientific findings on the impact of genetic variants on human body and health on the other hand.
Topic includes but is not limited to: genome-wide association studies, genetic architecture of complex traits, statistical genetics, integrated multi-omics, polygenic risk score, fine mapping
Session description: From transcriptomics, to proteomics and multi-omics: understanding the spatiotemporal expression profiles of genes across tissues and single cells is key to understanding how cells process information, differentiate, interact and contribute to an organism's well-being or disease. This session welcomes all research helping us to better understand this complex interplay; be it on the biological process itself or the development of new methods and software to analyse and combine the variety of data types.
Topic includes but is not limited to: cellular heterogeneity, cell differentiation and trajectories, spatial organization of cells, transcriptomics, proteomics, multi-omics, single cell measurements and analysis, statistical methods and software tools for omics and single cell data