CAFCW 2016 - Computational Approaches for Cancer Workshop (CAFCW-2016)

Computational Approaches for Cancer Workshop (CAFCW-2016)
Held in conjunction with the
SC16: The International Conference on
High Performance Computing, Networking, Storage and Analysis
November 13, 2016, Salt Lake City, Utah, USA
SC16 Conference Link: http://sc16.supercomputing.org
Workshop Information Link: http://www.scworkshops.net/cancer2016
Important Dates:
? Submission: September 1, 2016 at https://easychair.org/conferences/?conf=cafcw2016
? Notification of Acceptance: September 15, 2016
? Workshop: November 13, 2016
The need for a workshop focused on computational approaches for cancer has become increasingly important as the drive towards precision medicine has accelerated, the challenges in cancer research and clinical application requiring computational solution are rapidly growing, and the pursuit of effective predictive models for complex biological systems begin to inform future exascale computing requirements. The role of computation in cancer research has only become more pronounced with the National Strategic Computing Initiative, the Precision Medicine Initiative, the Exascale Initiative from the DOE and the announcement of the "cancer moonshot" at the 2016 US Presidential State of the Union Address. Recent activities announced at the June 28 Cancer Moonshot Summit highlight the important role of advanced computing in accelerating advances in cancer research and clinical applications.
( https://www.whitehouse.gov/the-press-office/2016/0... )
In the workshop, we bring together the computational community interested in the use high-performance computing, analytics, predictive modeling, and large datasets in cancer research and clinical applications. The participation in the workshop is inherently inter-disciplinary, with the common interest in cancer and computation the unifying theme. As such, the workshop provides rich opportunities for attendees to learn about future directions, current applications and challenges and build collaborations. Maintaining a perspective of translation of ideas to clinical application, the workshop will include involvement of interests from the research, clinical and regulatory areas
Call for Papers
The workshop aims to recognize the critical role that cross-disciplinary partnerships, shared effort and team science play in advancing the cancer research and clinical applications through use of computational methods, data science, high-performance computing and/or cutting-edge computational technologies. In creating this call for papers, topics of interest are presented in tandem, further emphasizing the cross-disciplinary opportunities for innovative submissions.
Topics of interest for workshop submissions include, but are certainly not limited to combinations of the following cancer and computational topics:
Cancer Research and Clinical Applications
Next Generation Sequencing Analysis
Single Cell Sequencing
Proteomics, Genomics, and Metabolomics
Flow Cytometry
High-throughput Screening
Cyro-Electron Microscopy
Multi-modal Biological Imaging
Structural Biology
Biological-scale Molecular Dynamics
Predictive Oncology
Cancer Therapeutic Development
Protein-protein Interaction
Cellular Signaling
Cell-level Predictive Modeling
Cancer Imaging
Digital Pathology
Pharmacodynamic Modeling
Pharmacogenomic Modeling and Analysis
Electronic Health and Medical Records
mHealth and Health Sensor Networks
Bioinformatics
Cancer Diagnostics
Therapeutic Response
Systems Biology
Computational Approaches
High-performance Parallel Computing
Cloud Computing
Exascale and Extreme-scale Computing
Machine and/or Deep Learning
Cognitive Computing
Data Integration and Delivery
Image Processing
Pattern Recognition
Heterogeneous Computing (GPGPU, FPGA, etc.)
Programming Models
Visualization
Data Imputation
Uncertainty Quantification
Multi-scale Predictive Modeling
Integrated Systems Simulations
Complex Systems Modeling
Integration Frameworks
Computational Workflows
Information and Data Security
Automata and Finite State Machines
Novel Mathematical and Statistical Models
Data Science and Analytics
Graph and/or Network Analysis
Model Validation and Verification
Submitted extended abstracts of papers will be reviewed and selected for presentation in the Computational Approaches for Cancer Workshop held as part of the SC 16 Workshop Program,November 13, 2016 in Salt Lake City, Utah.
Submission Guidelines
Authors are invited to submit extended abstracts in English structured as technical papers limited to a maximum of two letter size pages (not including bibliography). A bibliography should be included and use the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without consideration or review.
Abstracts will be reviewed and judged on correctness, originality, technical strength, alignment to expressed cross-disciplinary aims in the paper call, quality of presentation and interest to workshop attendees. Submitted abstracts may incorporate unpublished new advances, insight and/or original research findings.
Submissions received after the due date, exceeding the prescribed length, or not appropriately structured may also be returned without consideration or review.
In submitting the extended abstract, the authors acknowledge that at least one author of an accepted submission will register for and attend the workshop.
Extended abstracts should be submitted electronically as PDF documents at
https://easychair.org/conferences/?conf=cafcw2016
Note to submitters: Submissions will go through the usual workshop review process. Once accepted, you will be invited to present your work. Given the cross-disciplinary nature of the topic, the organizers are working on opportunities to publish accepted papers in post-conference workshop proceedings, affording authors the opportunity to update contributions based on feedback during the workshop. Details to be forthcoming.
Important Dates
Extended abstract submission: September 1, 2016
Notification of acceptance: September 15, 2016
Workshop: November 13, 2016
Organizing Committee
Thomas Barr ? The Research Institute at Nationwide Children’s Hospital
Patricia Kovatch ? Mount Sinai School of Medicine
Eric Stahlberg ? Frederick National Laboratory for Cancer Research
Program Committee
Sunita Chandrasakaran ? University of Delaware
Claudine Conway ? Intel
Heiko Enderling ? Moffitt Cancer Center
Amy Gryshuk ? Lawrence Livermore National Laboratory
William Richards ? Brigham and Women’s Hospital, Harvard Medical School
Ilya Shmulevich ? Institute for Systems Biology
Thomas Steinke ? Zuse Institute Berlin
CONTACT: eric.stahlberg-AT-nih.gov