| Cancer Panomics: Computational methods and infrastructure for integrative analysis of cancer high-throughput "omics" data | |
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United States - HI - Big Island |
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| Hosted by: | A session of the Pacific Symposium on Biocomputing |
| Venue: | The Fairmont Orchid |
| Dates: | Jan 03, 2014 through Jan 07, 2014 |
| Call for Proceedings Presentations: | 2013-05-31 through 2013-07-31 |
| Call for Posters: | 2013-08-01 through 2013-11-15 |
| Travel Fund Apps: | 2013-08-01 through 2013-10-07 |
| Event Registration: | 2013-08-01 through 2014-01-03 |
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Description |
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| 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 reveal therapeutic vulnerabilities of each patient’s tumor. This session will 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 realization of this vision will require novel infrastructure and computational methods to integrate large scale data effectively and query it in real-time for therapy and/or clinical trial selection for each patient. Session Aims We aim to explore the computational needs to enable precision oncology and encourage submissions from academia and industry. We seek original contributions that discuss new methods or infrastructure to integrate multiple "omics" datasets (e.g., proteome, genome, exome, transcriptome), as well as existing clinical data types to enable precision medicine (e.g., medical literature, electronic medical records, clinical trial data, histopathology). The session will emphasize methods for interpreting the data for a single patient to elucidate treatment decisions in the "n=1" setting in contrast to aggregated results gleaned from large cohort analysis. Submissions should describe algorithms, models, and original solutions to a specific data integration analysis problem with respect to cancer. We may also consider submissions that formally pose a novel problem in the area of cancer integrative analysis area. Call for contributions The scientific core of the conference consists of rigorously peer-reviewed full-length papers reporting on original work. Accepted papers will be published in an online archival proceedings volume (fully indexed in PubMed), and a number of the papers will be selected for presentation during the conference. Please see the PSB paper format template and instructions at http://psb.stanford.edu/psb-online/psb-submit/ Possible submission topics * Integrative analysis of high-throughput "omics" data from related samples or data types * Pathway disruption analysis by combining data from different "omics" sources in single patients * Joint analysis of "omics" data, literature, clinical trial data, and medical records * Data structures & systems to enable big-data integrative analysis in patients Session Chairs Søren Brunak, Ph.D. Center for Biological Sequence Analysis Department of Systems Biology, Technical University of Denmark, Copenhagen, Denmark Francisco M. De La Vega, D.Sc. Real Time Genomics, Inc., San Bruno, CA, USA Gunnar Rätsch, Ph.D. Memorial Sloan-Kettering Cancer Center, New York City, NY, USA Joshua M. Stuart, Ph.D. Center for Biomolecular Science and Engineering, University of California Santa Cruz, CA, USA |
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| Additional Information | |
| Event URL: | http://psb.stanford.edu/cfp-cp.html |
| ISCB Member Discount: | 50 USD |
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