2013 DREAM 8 Challenges
We are pleased to announce that the DREAM8 Challenges will be open for participation starting June 10, 2013. The three Challenges described below will run through the summer with final submissions scored in September, 2013. The best performers in these Challenges will be invited to present in the joint RECOMB Systems Biology/Regulatory Genomics/DREAM8 Conference taking place in Toronto, Canada in November 2013.
About DREAM Challenges
Sage Bionetworks and DREAM are convinced that running open computational Challenges focused on important unsolved questions in systems biomedicine can help advance basic and translational science. By presenting the research community with well-formulated questions that usually involve complex data, we effectively enable the sharing and improvement of predictive models, accelerating many-fold the analysis of such data. The ultimate goal, beyond the competitive aspect of these Challenges, is to foster collaborations of like-minded researchers that together will find the solution for vexing problems that matter most to citizens and patients.
During the “Challenge season” spanning from June to September 2013, Sage Bionetworks and DREAM plan to run the three Challenges described below. Best performers in the DREAM8 Challenges will be invited to present at the DREAM conference (November 8-12, Toronto, Canada) with travel expenses covered by the Sage/DREAM organizers. Sage Bionetworks and DREAM are also working with high impact journals to ensure that the methodology developed by the Challenges' best performers will be considered for publication under the Challenge-assisted Peer Review format.
If you want to sign up for one of these Challenges, please click on "Read More" next to its description below.
HPN-DREAM Breast Cancer Network Inference Challenge
The goal of the Heritage-DREAM Breast Cancer RTK Network Reconstruction Challenge is to use crowd-sourcing to increase our understanding of the signaling pathways at work in breast cancer.
To that end, participants in this Challenge will be provided with an extensive proteomics time-course dataset on four breast cancer cell lines. Participants will be tasked with analyzing these data to solve the following 3 sub-challenges: 1) build network models that represent the active cell signaling pathways in breast cancer, 2) predict the dynamic response of various phospho-proteins to drug perturbations, and 3) propose novel strategies to visualize these high dimensional data.
NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge
The goal of the NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge is to use crowd-sourcing to increase our understanding of the inter-individual variation in compound-induced cytotoxicity across a genetically diverse cohort of individuals.
To that end, the DREAM consortium will leverage the genetics and transcriptomics information of the 1000 genomes project (1000genomes.org), as well as cytotoxicity measures derived from compound exposure to over a hundred toxic agents using the 1000 genomes lymphoblastoid cell lines. Challenge Participants are tasked with solving two related subchallenges: (1) developing predictive models of cytotoxicity using genetic and genomic data to predict individual responses to compound exposure and (2) using chemical attributes to predict population-based cytotoxicity characteristics (median, variance) for unknown compounds.
Best performers will be invited to present at the DREAM conference with travel expenses covered by the Sage/DREAM organizers. We are working with high impact journals to ensure that the methodology developed by the best performer will be considered for publication under the challenge-assisted peer review format.
The Whole-Cell Parameter Estimation DREAM Challenge
The goal of the Whole Cell Parameter Estimation Challenge is to use crowd-sourcing to determine the ability of the computational systems biology community to infer the kinetic parameters underlying biological processes.
The challenge consists of predicting a subset of the kinetic parameters used in a recently published whole-cell model of Mycoplasma genitalium. Participants are tasked with estimating the model parameters from simulated data (representing possible measurements in actual experiments) purchased on demand and chosen with the aim to refine the parameters under estimation.
DREAM-DEMO-J
DREAM8 Press Releases
Click here to read the Heritage Provider Network press release
Click here to read the April 19, 2013 DREAM8 Challenge press release.
