CFP- 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:


Workshop Information Link:


Important Dates:

·      Submission: September 1, 2016 at

·      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.

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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


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


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


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