Evostar 2016

• EuroGP
  
• EvoCOP
  
• EvoMUSART
  
• EvoApplications
  
  
  • EvoBAFIN
  • EvoBIO
  • EvoCOMNET
  • EvoCOMPLEX
  • EvoENERGY
  • EvoGAMES
  • EvoIASP
  • EvoINDUSTRY
  • EvoNUM
  • EvoPAR
  • EvoRISK
  • EvoROBOT
  • EvoSTOC
  EvoStar Best Paper Candidates
  EvoStar Best Paper Awards 2016
  

Evolutionary Computation, Machine Learning and Data Mining in Computational Biology

Join us in Porto 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

For more information, visit our web page at http://www.evostar.org/2016/, or follow us on Twitter @EVOBio2016, join our evobio2016 group on LinkedIn and our EvoBIO group on Facebook, or email to evobio.conference(at)gmail.com

An extended version of the best paper may be considered for publication in the Biodata Mining Journal of Biomed Central (IF: 2.02) with open access publishing fees waived (http://www.biodatamining.org/)

Submission Details

Submissions must be original and not published elsewhere. They will be peer reviewed by at least three members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format.
Please provide up to five keywords in your Abstract
Page limit: 16 pages.

EvoBIO Track Chairs

• Jaume Bacardit
  Newcastle University, Newcastle, UK
  jaume.bacardit(at)newcastle.ac.uk
• Federico Divina
  Universidad Pablo de Olavide, Sevilla, Spain
  fdivina(at)upo.es
• Ting Hu
  Memorial University, St. John’s, NL Canada
  ting.hu(at)mun.ca

Programme Committee

• Mengjie Zhang (Victoria University of Wellington, New Zealand)
• Alex Freitas (University of Kent, UK)
• Carlotta Orsenigo (Politecnico di Milano, Italy)
• Casey Greene (Dartmouth College, USA)
• Christian Darabos (University of Pennsylvania, USA)
• Clara Pizzuti (ICAR CNR, Italy)
• Dr Bing Xue (Victoria University of Wellington (VUW), New Zealand)
• Edward Keedwell (University of Exeter, UK)
• Elena Marchiori (Radboud Universiteit van Nijmegen, Netherlands)
• Florentino Fernandez (Universidad de Vigo, Spain)
• Jin-Kao Hao (University of Angers, France)
• Jitesh Dundas (Edencore Technologies, Indian Institue of Technology, India)
• Jose Santos Reyes (Universidad de A Coruña, Spain)
• Leonardo Vanneschi (Universidade Nova de Lisboa, Portugal)
• Mario Giacobini (Universitá di Torino, Italy)
• Michael Raymer (Wright State University, USA)
• Raffaele Giancarlo (Università degli Studi di Palermo, Italy)
• Rosalba Giugno (University of Catania, Italy)
• Ryan Urbanowicz (University of Pennsylvania, USA)
• Simona Rombo (Università degli Studi di Palermo, Italy)
• Vincent Moulton (University of East Anglia, UK)