The Pacific Symposium on Biocomputing (PSB) 2015 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2015 will be held from January 4 - 8, 2015 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2015 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field. Contents: Cancer Panomics: Computational Methods and Infrastructure for Integrative Analysis of Cancer High-Throughput "OMICS" Data
Cancer Pathways: Automatic Extraction, Representation, and Reasoning in the "Big Data" ERA
Characterizing the Importance of Environmental Exposures, Interactions Between the Environment and Genetic Architecture, and Genetic Interactions: New Methods for Understanding the Etiology of Complex Traits and Disease
Crowdsourcing and Mining Crowd Data
Personalized Medicine: From Genotypes, Molecular Phenotypes and the Quantified Self, Towards Improved Medicine
Readership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology.