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The Digital Mammography DREAM Challenge.
The Digital Mammography DREAM Challenge.
Spring 2016 (Pre-registration Opens October 7)
This 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.
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ICGC-TCGA SMC-DNA Meta Challenge
ICGC-TCGA SMC-DNA Meta Challenge
August 2015- Fall 2015 (Now Open)
The ICGC-TCGA DREAM Somatic Mutation Calling Meta-pipeline Challenge (SMC-DNA Meta) (herein, The Challenge) is an international effort to improve standard methods for identifying cancer-associated mutations and rearrangements in whole-genome sequencing (WGS) data.
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AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge
AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge
Fall 2015 (Now Open!)
This Challenge is designed to explore fundamental traits that underlie effective combination treatments and synergistic drug behavior using baseline genomic data, i.e. data collected pretreatment.
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DREAM 10 – ICGC-TCGA DREAM Somatic Mutation Calling Tumor Heterogeneity Challenge (SMC-Het)
DREAM 10 - ICGC-TCGA DREAM Somatic Mutation Calling Tumor Heterogeneity Challenge (SMC-Het)
Nov 2015- May 2016 (Now Open!)
This challenge’s focus is to identify the best subclonal reconstruction algorithms and to identify the conditions that affect their performance .
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ICGC-TCGA DREAM Somatic Mutation Calling RNA Challenge (SMC-RNA)
ICGC-TCGA DREAM Somatic Mutation Calling RNA Challenge (SMC-RNA)
Winter 2016 (Pre-Registration Open)
The goal of the somatic mutation calling (SMC) Challenge is to identify the most accurate mutation detection algorithms, and establish the state-of-the-art. The algorithms in this Challenge must use as input WGS data from tumor and normal samples and output mutation calls associated with cancer.


