EvoBIO 2017 - 2017 Evolutionary Computation, Machine Learning and Data Mining in Computational Biology

Join us in Amsterdam for EvoBIO, a multidisciplinary track that brings together researchers working in Bioinformatics and Computational Biology that apply advanced techniques coming from Evolutionary Computation, Machine Learning, and Data Mining to address important problems in biology, from the molecular and genomic dimension, to the individual and population level. EvoBIO engages researchers who are developing or applying advanced artificial intelligence or machine learning algorithms to cutting edge problems in bioinformatics and computational biology. Each accepted paper will be presented orally or as a poster at the conference and will be printed in the proceedings published by Springer Verlag in the LNCS series. Possible topics of interest include, but are not limited to:
Interpreting genomic or metagenomic data
Discovering regulatory or expression pathways
Rational drug design and personalized medicine
Modeling ecosystems or population dynamics
Discovering genome-disease or genome-phenotype associations
Biomedical text/data mining and visualization
Network biology/medicine
Omics data analysis and functional genomics for complex diseases
Gene-gene interactions and gene-environment interactions for disease association analysis
Protein Structure Prediction
Assembling next generation sequence data