Open Science Research Excellence

ICMBE 2020 : International Conference on Mathematical Biology and Ecology

London, United Kingdom
August 20 - 21, 2020

Call for Papers

ICMBE 2020 : International Conference on Mathematical Biology and Ecology is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Mathematical Biology and Ecology. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Biofluids
  • Bioinformatics
  • Biological data mining
  • Biomedical applications
  • Biomedical literature text mining
  • Biometrics
  • Cancer Modelling
  • Cancer Therapies
  • Cell Biology
  • Cellular Dynamics
  • Clinical informatics
  • Combinatorics
  • Comparative genomics and annotation
  • Computational and Systems Biology
  • Computational Biology
  • Computational drug discovery
  • Computational ecology
  • Computational neurobiology
  • Computational proteomics
  • Constraint satisfaction
  • Data management methods and systems
  • Data visualization
  • Databases
  • Development control
  • Developmental Biology
  • Differential Equations Applied to Mathematical biology
  • DNA and Protein Structure and Function
  • Ecology
  • Environmental and Evolutionary Biology
  • Epidememiology
  • Epidemiology
  • Evolution and phylogenetics
  • Functional genomics
  • Gene structure, regulation and modeling
  • Genetic variation
  • Genetics and Evolution
  • Genomics
  • Hidden Markov model
  • High performance biocomputing
  • Imaging
  • Immunology
  • Information theory and statistical analysis
  • Knowledge representation
  • Linguistic methods
  • Machine learning
  • Mathematical and quantitative models of cellular and multicellular systems
  • Mathematical Biology
  • Mathematical Ecology
  • Mathematical Epidemiology
  • Mathematical Neuroscience
  • Measuring cellular metabolism and cellular signaling
  • Micro RNA and RNAi
  • Microarray data analysis
  • Microbial community analysis
  • Molecular Biology
  • Neural networks
  • Neurobiology and Behaviour
  • Neuroscience
  • Ontologies and semantic web systems for biology
  • Parallel and distributed computation
  • Pathways and networks
  • Pattern recognition
  • Physiology
  • Population Biology
  • Population Dynamics
  • Promoter analysis and discovery, recognition of regulatory elements
  • Related Mathematical Problems in Biology
  • Robotics
  • Sequence motifs, alignments and families
  • Sequencing and arrangement algorithms
  • Stochastic modeling
  • String and graph algorithms
  • Synthetic biological systems
  • Systems Biology
  • Therapeutic applications of computational biology
  • Time series analysis