Computational Bioscience is an interdisciplinary journal featuring research articles that combine biological and computational research to enhance the scientific understanding of life. It is the only journal that provides this comprehensive perspective. The discipline of computational bioscience, like the field of genomics, is in its infancy. For example, the meaning of most of the human genome remains a mystery! Furthermore, the existing models for computational genomics are insufficient for the shifting paradigms of biological interpretation. The current generation of bioinformaticians and molecular biologists will map the elements of the genomes, and will make scientific discoveries to enable diagnoses and management of human diseases, perhaps even curing many of the ills of mankind. As a community, our success requires continued refinement of the paradigms to encompass outcomes of major scientific initiatives, such as the ENCODE project, and development of a new generation of computational methods that help biologists to deal with the complexity of the new paradigms. Thus, the Journal of Computational Bioscience features research articles that effectively address grand challenge problems in the biological sciences. Topics of interest include the following: • Bioinformatics • Biomedical Informatics • Computational Biology • Systems Biology • Personalized Medicine • Regulatory Networks • Biological Pathway Analysis • Machine Learning • Education • Discovery of Functional Genomic Elements • Biological Databases • Pattern Recognition • High Performance Computing • Software Design Patterns • Software Open Source Repositories • Regulatory Genomics • Genome Scale Patterns • Protein Structure Prediction • Gene Prediction • Genome Annotation • Comparative Genomics • Functional Genomics • Sequence Alignment • Evolutionary Biology • Proteomics • Algorithms • Theoretical Bioinformatics • Translational Biology • Biological Simulation • Microarray Analysis
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