Themes

Methodological developments for Systems Biology

  • Parameters estimation
  • Statistical tools for Systems Biology
  • Mixed-effect models
  • Identifiability
  • Multiscale methodological issues
  • Information theory and more.

Education for Systems Biologists

  • Inter- or trans-disciplinary training
  • Novel methods and tools
  • Students’ mobility
  • Role of infrastructures and research centers in systems biology education
  • Career paths
  • Mathematical and computational training for systems biologists
  • Training of professional biologists - Interdisciplinary collaborations and more.

Modelling Networks and Circuits

  • Deterministic dynamical models (ODEs and PDEs)
  • Stochastic models
  • Graphical models
  • Boolean models
  • Network and statistical modeling and more.

Multi-omics

  • Integration of different omics-data (e.g. transcriptome, metabolome, methylome, ChIP-seq)
  • Genome-wide models (e.g. stochastic models based on scRNA-seq)
  • Role of genetic variation on systems biology models (of gene regulation, metabolism, development, etc) and more.

Single-cell Systems Biology

  • Methodological aspects for single-cell molecular interrogation
  • Dedicated statistical tools
  • From single cells to tissues, and back
  • Single-cell multi-omics and more.

Quantitative Systems Physiology

  • Quantitative approaches to microbial physiology
  • Phenomenological framework of cellular reproduction
  • Growth and the cell cycle
  • Coordination of biosynthesis
  • Quantitative predictive power of single-cell physiology and more.

Humanities and Social Sciences for Systems Biology: epistemological, social and ethical dimensions of systems biology

  • Epistemology of systems biology
  • Epistemology of modeling
  • Epistemology of interdisciplinarity
  • Ethical questions raised by systems biology and systems medicine and more.

Developmental Systems Biology

  • Plant and animal cellular and tissue-level development and differentiation
  • Morphogenesis
  • Patterning and growth in the developing embryo
  • Tissue and organ development and more.

Systems Neurosciences

  • Network-based approaches to brain function
  • Neural networks
  • Molecular and cellular approaches for modelling brain structure and functions
  • Electrophysiology, in vivo imaging and more.

Systems Medicine

  • Systems approaches to healthcare and drug discovery
  • Systems and personalised medicine
  • Big data for systems medicine
  • Systems biology for cancer, immunology, stem cells, aging and more.

Systems Biology for Synthetic Biology

  • Biotechnology and new energy
  • Artificial cells, tissues and organoids
  • Cell optimisation and more.

Multiscale Systems Biology

  • Coupling large-scale networks (regulatory, metabolic and signalling networks)
  • Cellular populations to ecological interactions
  • From microbiome to host physiology
  • Systems analysis for environment management and more.

Evolutionary and Ecological Systems Biology

  • Systems approach to evolution and evolution of systems
  • Networks evolution
  • Study of ecosystems
  • Interactions within and between biological and ecological systems
  • Comparative genomics
  • Microbiomes, microbial communities and more.

Systems Biomechanics

  • Biofluid mechanics
  • Dynamical biophysics
  • Biotribology
  • Comparative biomechanics and more.

And also workshops and satellites about:
Innovation and business from Systems Biology