AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge
Summer 2015 (Registration 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.
DREAM 10 – ALS Stratification Prize4Life Challenge
June 23- September (NOW OPEN!)
This challenge is a follow on to the DREAM 7 ALS Prize 4 Life Challenge. This Challenge focuses on predicting the progression and survival of ALS patients. The Challenge will leverage the PRO-ACT database of more than 8,000 cases as the Challenge training set, and feature several unpublished datasets that will be used for model validation.
DREAM 10 – ICGC-TCGA DREAM Somatic Mutation Calling Tumor Heterogeneity Challenge (SMC-Het)
Summer 2015 (Pre-Registration Open)
This challenge’s focus is to identify the best subclonal reconstruction algorithms and to identify the conditions that affect their performance.
ICGC-TCGA DREAM Somatic Mutation Calling RNA Challenge (SMC-RNA)
Late 2015 (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.
A special session at the ISMB/ECCB Conference in Dublin, Ireland on July 11 will explain the rationale behind running a DREAM Challenge, the steps involved from both sides of the process (organizers and participants), the lessons learned, and the potential uses of DREAM Challenges in education. A hands-on exercises with the Synapse platform will also be featured. (Read more.)
The DREAM Challenge goals is to find clues to understanding heterogeneity in patients with Amyotrophic Lateral Sclerosis (ALS). The DREAM ALS Stratification Prize4Life Challenge brings together patients, clinical researchers, data scientists and pharmaceutical industry leaders to computationally identify for the first time different subgroups of ALS patients, to pave the way for potential new treatments. (read more)
Wooed by prize money researchers develop computational models for a variety of translational medicine challenges. (read more)