DREAM 12 - 2017
Multi-targeting Drug DREAM Challenge
Open October 5, 2017 - February 26, 2018 (Closed)
This challenge seeks to diversify the methods used for rational design of drugs with multiple target proteins. Participants predict compounds active against two medically-relevant sets of targets, with predictions validated by commercial lab testing.
GA4GH/DREAM Workflow Execution Challenge
Open July - September 2017
The goal of this challenge is to evaluate systems and platforms for executing portable analysis workflows in the interest of developing common standards and best practices. Participants will run high quality genomics workflows in their system of choice to assess portability and reproducibility in a concrete way.
Parkinson’s Disease Digital Biomarker DREAM Challenge
July - October 2017 (Closed)
Using data collected through two Parkinson’s Disease mobile research studies, the goal of this challenge is to identify the best methods for processing mobile sensor data in order to distinguish gait and motor differences between Parkinson’s Disease patients and controls.
NCI-CPTAC DREAM Proteogenomics Challenge
This challenge will use public and novel proteogenomic data generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) to benchmark an understanding of the interfaces between different layers of information in a population of cancer cells.
Multiple Myeloma DREAM Challenge
Open June - October 2017 (Closed)
The Multiple Myeloma DREAM Challenge provides an opportunity to combine integration of large scale molecular and clinical data and state of the art analytical approaches to facilitate risk stratification in over 25,000 patients in the US alone. Additionally, it provides the ability to benchmark novel methods with the greatest potential to yield patient care benefits in the future.
The Digital Mammography DREAM Challenge.
June 29, 2016- May 2017 (competitive phase closed)
With generous support from the Laura and John Arnold Foundation this $1.2 million Challenge, one of two large prize Coding4Cancer Challenges, seeks to improve the accuracy of breast cancer detection and reduce the current rate of patient callbacks.