PSB

Call For Papers, Abstracts and Demonstrations

Pacific Symposium on Biocomputing

Big Island of Hawaii -- January 4-8, 2015

The paper submission deadline has passed and the paper review process has started. Decisions will be sent September 9.

The twentieth Pacific Symposium on Biocomputing (PSB), will be held January 4-8, 2015 at the Fairmont Orchid on the Big Island of Hawaii. 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.

Session tutorials

Hour long tutorials of the PSB 2015 sessions will be offered on January 4, 2015.

Papers and posters

The core of the conference consists of rigorously peer-reviewed full-length papers reporting on original work. All accepted papers will be published electronically and indexed in PubMed, and the best of these will be presented orally to the entire conference. PSB will also initiate submission to PubMed Central (PMC); however, PMC indexing applies only to papers that comply with the NIH Public Access Policy.

Researchers wishing to present their research without official publication are encouraged to submit a one page abstract by the abstract deadline listed below to present their work in the poster sessions.

Important dates

Paper submissions due: July 31, 2014 midnight PT
Notification of paper acceptance: September 9, 2014
Final paper deadline: October 1, 2014 11:59PM PT
Abstract deadline: November 17, 2014 11:59PM PT
Meeting: January 4-8, 2015

Paper format

Please see the PSB paper format template and instructions at http://psb.stanford.edu/psb-online/psb-submit/index.html.

The accepted file formats are: postscript (*.ps) and Adobe Acrobat (*.pdf). Attached files should be named with the last name of the first author (e.g. altman.ps or altman.pdf). Hardcopy submissions or unprocessed TEX or LATEX files or electronic submissions not submitted through the paper management system will be rejected without review.

Each paper must be accompanied by a cover letter. The cover letter should be the first page of your paper submission. The cover letter must state the following:

Submitted papers are limited to twelve (12) pages (not including the cover letter) 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 images are accepted for publication at no additional charge.

Papers must be submitted to the PSB 2015 paper management system at http://psb.wufoo.com/forms/psb-paper-submission/.

Contact PSB (psb.hawaii @ gmail.com) for additional information about paper submission requirements.

Travel support

We have been able to offer partial travel support to many PSB attendees in the past. However, please note that no one is guaranteed travel support. The online travel support application form will open in August.

PSB 2015 Sessions:

Each session has a chair who is responsible for organizing submissions. Please contact the specific session chair relevant to your interests for further information. Links on each of the session titles below lead to more detailed calls for participation for each session.

Cancer Panomics: Computational methods and infrastructure for integrative analysis of cancer high-throughput "omics" data to enable precision oncology

Co-chairs: Soren Brunak, Francisco M. De La Vega, Adam Margolin, Ben J. Raphael, Gunnar Raetsch, Joshua M. Stuart

Precision medicine promises to transform cancer treatment in the next decade through the use of high-throughput sequencing and other technologies to identify telltale molecular aberrations that in turn suggest therapeutic vulnerabilities of each patient's tumor. Beyond generalized cancer therapies that are indiscriminate in nature, we aim to address the "panomics" of cancer - the complex combination of patient-specific characteristics that drive the development of each person's tumor and response to therapy. The American Society of Clinical Oncology has used this definition of cancer panomics in their vision document: Shaping the Future of Oncology: Envisioning Cancer Care in 2030. The realization of this vision will require new infrastructure and computational methods to integrate this data effectively and query it in real-time for therapy and/or clinical trial selection for each patient.

Contact: Francisco De La Vega
Email: franciscodlv at annaisystems dot com

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

Co-chairs: Sarah A. Pendergrass, Shefali Setia Verma, Molly Hall, Jason H. Moore, Brendan Keating, Scott Selleck, Alan Templeton, Greg Gibson, Folkert Asselbergs, Heather Volk, Issac Pessah, Dennis Wall, Daniel B. Campbell

The goal of this session is to encourage research and tool development for greater understanding of the impact of environmental exposures on complex traits and disease outcomes, elucidating the relationship between genetic variation and environmental exposure, and the exploration of genetic interactions and outcomes.

Contact:
Sarah Pendergrass: sap29 at psu dot edu
Shefali S. Verma: szs14 at psu dot edu
Molly Hall: mah546 at psu dot edu
Extended deadline: August 6, 2014

Crowdsourcing and Mining Crowd Data

Co-chairs: Robert Leaman, Benjamin Good, Andrew Su, Zhiyong Lu

This session focuses on biomedical discovery through crowdsourcing and mining crowd data - the analysis of intelligence or data obtained through open collaboration. This session will examine the use and advancement of crowdsourcing (e.g. microtask environments, games with a purpose, workflow sequestration) and crowd data (e.g. human genomics sequence data, electronic health records, social media data) in a variety of biomedical applications including text mining, data mining and aggregation.

Contact: Robert Leaman
Email: robert dot leaman at nih dot gov
Extended deadline: August 4, 2014

Personalized medicine: from genotypes, molecular phenotypes and the quantified self, towards improved medicine

Co-chairs: Joel Dudley, Steven E. Brenner, Jennifer Listgarten, Leopold Parts, Oliver Stegle

We are organizing a session focused on personalized medicine: from genotypes, molecular phenotypes and the quantified self, towards improved medicine. Briefly, our session will explore new and open problems pertaining to various genome-wide and other large scale data, including rare and common SNPs, structural variants, epigenetic scans, multi-omic data, intermediate phenotypes, clinical variables from electronic medical records, disease and quantified-self sensor-based data. We will particularly embrace submissions that span several of these types of data. The focus will be on methods that are scalable to real-world problems and help to elicit results from genome sequence analysis along with and high-dimensional phenotype data. The session is intended to have a broad target audience including method developers and practitioners in the fields of medical and human genetics, statistical genetics and related areas.



Contact: Joel Dudley
Email: joel.dudley at mssm dot edu
Extended deadline: August 6, 2014

Cancer Pathways: Automatic Extraction, Representation, and Reasoning in the Big Data Era

Co-chairs: Graciela H. González, Chitta Baral, Suengchan Kim, Jeff Kiefer, Jieping Ye

There has been great interest and research initiatives in the biomedical community around harnessing "big data," including data from the literature, high-throughput gene expression experiments, array CGH and high-throughput siRNA and many other types of data to generate novel hypothesis to address the most crucial biomedical questions and aid in the discovery of more effective and improved therapeutic options for the treatment of complex diseases. Given its ever increasing volume and diversity, interest in taming "big data" through methods and systems to extract, represent, and transform it to knowledge that can be used for reasoning and question answering will only increase over time, enabling scientists to effectively use it for discovery and validation.

Contact: Graciela H. González
Email: ggonzalez at asu dot edu
Extended deadline: August 4, 2014


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