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The aim of this workshop called Bioinformatics and Artificial Intelligence (BAI) is to bring together active scholars and practitioners in the frontier of Artificial Intelligence (AI) and Bioinformatics. AI holds a tremendous repertoire of algorithms and methods that constitute the core of different topics of bioinformatics and computational biology research. BAI goals are two folds : How can AI techniques contribute to bioinformatics research ?, and How can bioinformatics research raise new fundamental questions in AI ? Contributions will clearly point out answers to one of these goals focusing on AI techniques as well as focusing on biological problems.

Important dates:

  • Abstract Submission Deadline: May 15th, 2017
  • Abstract and Paper Submission Deadline: May 29th, 2017
  • Author Notification: June 30th, 2017
  • Camera Ready Deadline: July 20th, 2017
  • Workshop: August 21st, 2017

Useful links:

Aims and Scope

Artificial Intelligence (AI) has played an increasingly important role in the analysis of sequence, structure and functional patterns or models from sequence databases. Bioinformatics aims to store, organize, explore, extract, analyze, interpret, and utilize information from biological data. The main outcome of this workshop is to present latest results in this exciting area at the intersection of biology and AI.

AI approaches can revolutionize new age of bioinformatics and computational biology with discoveries in basic biology, evolution, metagenomics, system biology, regulatory genomics, population genomics and diseases, structural bioinformatics, protein docking, next-generation sequencing (NGS) data processing, chemoinformatics, etc.

Bioinformatics provides opportunities for developing novel AI methods. Some of the grand challenges in bioinformatics include protein structure prediction, homology search, epigenetics, multiple alignment and phylogeny construction, genomic sequence analysis, gene finding and gene mapping, as well as applications in gene expression data analysis, drug discovery in pharmaceutical industry, etc.

Two questions will be at the heart of this workshop :

  • How can AI techniques contribute to Bioinformatics research, and in particular dealing with biological problems ?
  • How can Bioinformatics raise new fundamental research problem for AI research ?

This one-day workshop aims at bringing together scholars and practitioners active in Artificial Intelligence driven Bioinformatics, to present and discuss their research, share their knowledge and experiences, and discuss the current state of the art and the future improvements to advance the intelligent practice of computational biology.


Workshop topics

We encourage papers with important new insights and experiences on artificial intelligence from the modeling and simulation of biological systems. Those contributions should shed light on one of the two questions mentioned above. Topics of interest lie at the intersection of AI and Bioinformatics. They include, but are not limited to, the following inter-linked topics:

Artificial Intelligence :

  • Constraints, satisfiability and search
  • Knowledge representation, reasoning and logic
  • Machine learning and data mining
  • Planning and scheduling
  • Agent-based and multi-agent systems
  • Web and knowledge-based information systems
  • Natural language processing
  • Uncertainty

Bioinformatics :

  • Comparative genomics
  • Evolution and phylogenetics
  • Epigenetics
  • Funtional genomics
  • Genome organization and annotation
  • Genetic variation analysis
  • Metagenomics
  • Pathogen informatics
  • Population genetics, variation and evolution
  • Protein structure and function prediction and analysis
  • Proteomics
  • Sequence analysis
  • Systems biology and networks