Gap 2015 - Workshop on Advances in Bioinformatics and Artificial Intelligence : Bridging the Gap

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