The International Conference on Computational Biology 2010 will take place in San Francisco, USA, 20-22 October, 2010.

The conference ICCB'10 is held under the World Congress on Engineering and Computer Science WCECS 2010. The WCECS 2010 is organized by the International Association of Engineers (IAENG), a non-profit international association for the engineers and the computer scientists. The congress has the focus on the frontier topics in the theoretical and applied engineering and computer science subjects. The last IAENG conference has attracted more than five hundred participants from over 30 countries. All submitted papers will be under peer review and accepted papers will be published in the conference proceeding (ISBN: 978-988-17012-0-6). The abstracts will be indexed and available at major academic databases. The accepted papers will also be considered for publication in the special issues of the journal Engineering Letters, in IAENG journals and in edited books by publishers like America Institute of Physics and Springer.

The topics of the ICCB'10 include, but not limited to, the following:

Biomedicine, epidemiology, & agriculture
Computer-aided drug design
Databases & database integration
Evolution and phylogenetics
Metabolomics
Ontologies
Pathways, networks, and systems
Proteomics
Sequence analysis
Simulation & system dynamics
Structural bioinformatics
Text mining
Transcriptomics
Microarray Data Analysis
Micro RNA and RNAi
Biomedical Applications
Therapeutic Applications of Computational Biology
Computational Drug Discovery
Computational Proteomics
Computational genomics
Microbial Community Analysis
Synthetic Biological Systems
Evolution and Phylogenetics
Sequence Motifs, Alignments, and families
Functional Genomics
Promoter Analysis and Discovery, Recognition of Regulatory Elements
Comparative Genomics and Annotation
Genetic Variation (SNPs and Haplotyping, etc.)
Development Control
Measuring Cellular Metabolism and Cellular Signaling
Computational Neurobiology
Computational Ecology
Mathematical and Quantitative Models of Cellular and Multicellular Systems
Computational Techniques
Biological Data Mining
Biomedical Literature Text Mining
Data Visualization
High Performance Biocomputing
Parallel Computation
Machine Learning
Pattern Recognition
Knowledge Representation
Databases
Combinatorics
Stochastic Modeling
String and Graph Algorithms
Linguistic Methods
Constraint Satisfaction
Information Theory and Statistical Analysis
Hidden Markov Model
Ontologies and Semantic Web Systems for Biology
Clinical Informatics
Neural Networks
Time Series Analysis
Sequencing and Arrangement Algorithms
Interdisciplinary Issues
Project Management
Philosophy, Ethics of Bioinformatics
Future Trends of Bioinformatics