The paper submission deadline has passed, and the list of accepted papers has been selected by our referees.
The eleventh Pacific Symposium on Biocomputing (PSB), will be held January 3-7, 2006 at the Grand Wailea Resort on Maui. PSB will bring together top researchers from North America, the Asian Pacific nations, Europe and around the world to exchange research results and address open issues in all aspects of computational biology. PSB will provide 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. PSB intends to attract a balanced combination of computer scientists and biologists, presenting significant original research, demonstrating computer systems, and facilitating formal and informal discussions on topics of importance to computational biology.
To provide focus for the very broad area of biological computing, PSB is organized into a series of specific sessions. Each session will involve both formal research presentations and open discussion groups. The 2006 PSB sessions are:
Each paper must be accompanied by a cover letter. The cover letter must
state the following:
Submitted papers are limited to twelve (12) pages in our publication format. Please format your paper according to instructions found at http://psb.stanford.edu/psb-online/psb-submit/. If figures can not be easily resized and placed precisely in the text, then it should be clear that with appropriate modifications, the total manuscript length would be within the page limit.
Color pictures can be printed at the expense of the authors. The fee is $500 per page of color pictures, payable at the time of camera ready submission.
Contact Russ Altman (firstname.lastname@example.org) for additional information about paper submission requirements.
This session is designed to explore the current state-of-the-art research taking place in bioinformatics, biostatistics, and computational genetics to develop tools for the handling of all the pharmacogenomics data being generated. The goal of this session is the presentation and discussion of new research, algorithms, and methods for the management and analysis of pharmacogenomics data. We intend for this session to bring together scientists from pharmacology, genetics, statistics, and computational biology/bioinformatics to share their efforts in pharmacogenomics.
This session is designed to bring together scientists in the computational sciences to explore the current state-of-the-art research taking place in all aspects of proteomics with special emphasis on MS-based approaches.Contact: Bobbie-Jo Webb-Robertson
The goal of this session of the PSB conference is the presentation and discussion of new research, methods, algorithms, and tools that facilitate the planning, executing, and analysis of studies of human genomic variation leveraging the reference survey of variation performed by the HapMap project as well as other genome-wide datasets becoming available on the public domain.
Francisco M. De La Vega
Email: delavefm @ appliedbiosystems.com
This PSB session is intended to stimulate work in this area and to drive progress both in language processing and in the use and development of biological resources. It differs from previous PSB sessions on NLP and on ontologies in that it requires that submissions include both an NLP component and a mapping between at least two publicly available data sources.
Kevin Bretonnel Cohen
We would like to invite contributions addressing the connections between protein interactions and diseases. In this context, submission topics can include but are not limited to:
The Semantic Web is a vision that moves the Web from a form that is only really usable by humans, to one where the data and services are open to autonomous computational agents. This vision relies on the semantics of both the content and services on the Web being accessible to computers. Semantic markup through ontologies developed in OWl or RDF are meant to provide this semantic markup -- OWL is, after all, the web Ontology Language. As the recent biomedical ontology sessions at PSB have revealed, there is much activity within bioinformatics in the field of semantic markup of data. The discipline is well poised to build Semantic Webs for Life Sciences that will afford bioinformatics applications deeper computational access to the knowledge element of bioinformatics resources.